Newest 'open-ai' Questions

2

votes

1answer

43 views

How to get GPT-3 to translate a specific word in a sentence?

I just gave GPT-3 the following prompt (in the playground, using text-davinci-001 with default settings): ...

open-ai gpt-3

asked Jan 21 at 20:51

cheesus

1235 bronze badges

0

votes

1answer

30 views

Are there any other language models besides GPT-3 that can be used to create chatbots with a specific identity and environment?

I've recently been looking into language models but ran into a small question out of curiosity. For some language models like GPT-3, it is possible to generate dialogue, with the model basing its ...

asked Jan 5 at 11:50

Jelle

1033 bronze badges

0

votes

0answers

17 views

Are there any resources about using RL with RNN to produce Open AI Five-type of AI?

I want to make a minimal working version of Open AI Five. It seems it uses PPO with LSTM, but I don't know how to implement the actual code, and couldn't find any online tutorials for it. Are there ...

reinforcement-learning long-short-term-memory open-ai resource-request

asked Dec 29 '21 at 12:11

Rick

93 bronze badges

1

vote

1answer

75 views

Delayed state observation or caching action in OpenAI gym. Can it still learn?

I am planning to use OpenAI gym for my experiment in real life. In my experiment design, by the limits of a real-life scenario, I can only receive the state information or the rewards about 2-3 ...

reinforcement-learning open-ai gym

asked Sep 1 '21 at 20:35

Ykwk

313 bronze badges

2

votes

1answer

39 views

Why adding a baseline doesn't affect the policy gradient?

On the OpenAI's Spinning Up, they justify the fact that adding a baseline $b(s_t)$ in the policy gradient doesn't change its gradient by saying that this is an immediate consequence of the EGLP Lemma ...

policy-gradients proofs open-ai reinforce

asked Jul 7 '21 at 15:13

Thomas Hustache

211 bronze badge

1

vote

0answers

62 views

Too slow search using MCTS in OpenAI Atari games

I'm recently using Monte Carlo Tree Search in OpenAi Gym Atari, but the result isn't satisfying. Without render, the game lasts about 180 steps ( env.step() was called this much time ) with random ...

reinforcement-learning monte-carlo-tree-search open-ai gym atari-games

asked Jun 21 '21 at 7:46

TurboDibbla

111 bronze badge

0

votes

0answers

34 views

Bridging the gap between simulation and real-world scenarios!

I've got a DRL model that was trained on a simulation at a frame rate of 100fps, after testing it with 100fps it gives good results however when testing it with another frame rate say 50fps it gives a ...

reinforcement-learning deep-rl deep-neural-networks open-ai gym

asked Jun 10 '21 at 9:49

BAKYAC

364 bronze badges

1

vote

1answer

46 views

Why does the Atari Gym Amidar environment only move after a certain number of episodes? [closed]

When I try to run Amidar even without RL code, I cannot get the environment to move immediately. It takes about 100 steps before the game actually starts moving. I use the following simple code to ...

reinforcement-learning open-ai gym atari-games

asked May 18 '21 at 14:13

Lennart

132 bronze badges

0

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0answers

60 views

Open AI Taxi - Agent fails to learn an effective policy

I'm trying to solve the openai gym taxi problem (v3) using deep q learning. I've already had some success with the q-table approach, but for the life of me cannot manage to train a NN to learn a ...

reinforcement-learning open-ai gym

asked Apr 14 '21 at 15:03

Sledge

1033 bronze badges

0

votes

1answer

40 views

Is is not possible to achieve average reward of more than 20-40 with simple Q-Learning

I have implemented the simple Q-Learning based solution for AI-gym's Cartpole-v0. However, despite changing hyper-parameters, and rechecking my code, I cannot get an average reward (N-running reward) ...

q-learning rewards open-ai gym

asked Apr 11 '21 at 10:37

Kashan

3311 silver badge10 bronze badges

1

vote

0answers

25 views

What is the meaning of "Our current objective weights every token equally and lacks a notion of what is most important to predict" in the GPT-3 paper?

On page 34 of OpenAI's GPT-3, there is a sentence demonstrating the limitation of objective function: Our current objective weights every token equally and lacks a notion of what is most important to ...

natural-language-processing papers open-ai gpt-3

asked Apr 11 '21 at 0:39

exteral

1112 bronze badges

0

votes

0answers

44 views

Deployment of a DeepRL model trained on a custom OpenAI-GYM environment

I developed a custom OpenAI-GYM environment and trained a CDQN model on it, now I am trying to figure out how can I test it not using my gym environment but in production (using real world ...

reinforcement-learning python deep-rl open-ai gym

asked Mar 29 '21 at 8:13

BAKYAC

364 bronze badges

1

vote

0answers

66 views

How should I simulate this Markov Decision Process?

I am working on solving a problem on nodes in a graph communicating with each other. They try to estimate a central state using Kalman consensus filter, with the connections described by the graph's ...

reinforcement-learning python deep-rl open-ai

asked Feb 19 '21 at 17:27

Suraj Joshi

111 bronze badge

0

votes

2answers

465 views

Simple DQN too slow to train [closed]

I have been trying to solve the OpenAI lunar lander game with a DQN taken from this paper https://arxiv.org/pdf/2006.04938v2.pdf The issue is that it takes 12 hours to train 50 episodes so something ...

reinforcement-learning deep-learning tensorflow q-learning open-ai

asked Jan 3 '21 at 15:08

Marc

1012 bronze badges

1

vote

0answers

120 views

How to deal with KerasRL DDPG algorithm getting stuck in a local optima?

I am using KerasRL DDPG to try to learn a policy on my own custom environment, but the agent is stuck in a local optima although I am adding the OrnsteinUhlenbeck randomization process. I used the ...

reinforcement-learning keras open-ai gym ddpg

asked Dec 17 '20 at 13:02

BAKYAC

364 bronze badges

1

vote

1answer

321 views

How do I create a custom gym environment based on an image?

I am trying to create my own gym environment for the A3C algorithm (one implementation is here). The custom environment is a simple login form for any site. I want to create an environment from an ...

reinforcement-learning open-ai gym a3c

asked Nov 3 '20 at 15:54

Ren

213 bronze badges

1

vote

0answers

32 views

What is the difference between step_model and train_model in the OpenAI implementation of the A2C algorithm?

I'm struggling a little with understanding the OpenAI implementation of A2C in the baselines (version 2.9.0) package. From my understanding, one ...

reinforcement-learning open-ai implementation advantage-actor-critic

asked Oct 24 '20 at 9:47

sjokkopudd

111 bronze badge

5

votes

2answers

359 views

My Deep Q-Learning Network does not learn for OpenAI gym's cartpole problem

I am implementing OpenAI gym's cartpole problem using Deep Q-Learning (DQN). I followed tutorials (video and otherwise) and learned all about it. I implemented a code for myself and I thought it ...

reinforcement-learning dqn deep-neural-networks open-ai gym

asked Aug 11 '20 at 15:42

Kashan

3311 silver badge10 bronze badges

2

votes

0answers

72 views

Most of state-action pairs remain unvisited in the q-table

In building my first Q-learning algorithm for OpenAI gym's CartPole problem, many of my states remain unvisited. I believe it is the reason that my agent does not learn. Can I be told of the reasons I ...

reinforcement-learning q-learning open-ai gym

asked Jul 28 '20 at 6:49

Kashan

3311 silver badge10 bronze badges

1

vote

0answers

91 views

OpenAI gym's CartPole problem system does not learn

My OpenAI CartPole-v0 problem's implementation using basic Q-learning does not learn at all. I am a beginner and have implemented my first ever Q-learning from scratch after learning from tutorials. ...

q-learning open-ai gym

asked Jul 27 '20 at 22:11

Kashan

3311 silver badge10 bronze badges

5

votes

1answer

3k views

What exactly are the "parameters" in GPT-3's 175 billion parameters and how are they chosen/generated?

When I studied neural networks, parameters were learning rate, batch size etc. But even GPT3's ArXiv paper does not mention anything about what exactly the parameters are, but gives a small hint that ...

recurrent-neural-networks open-ai transformer attention gpt

asked Jul 26 '20 at 8:12

Nav

2712 silver badges8 bronze badges

4

votes

1answer

246 views

Why is GPT-3 such a game changer?

I've been hearing a lot about GPT-3 by OpenAI, and that it's a simple to use API with text in text out and has a big neural network off 175B parameters. But how did they achieve this huge number of ...

reinforcement-learning open-ai gpt

asked Jul 19 '20 at 19:23

parzival

412 bronze badges

0

votes

1answer

387 views

How can I change observation states' values in OpenAI gym's cartpole environment?

I am learning with the OpenAI gym's cart pole environment. I want to make the observation states discrete (with small stepsize) and for that purpose, I need to change two of the observations from [$ -\...

reinforcement-learning q-learning open-ai gym

asked Jul 18 '20 at 19:32

Kashan

3311 silver badge10 bronze badges

1

vote

1answer

306 views

How do I test an LSTM-based reinforcement learning model using any Atari games in OpenAI gym?

I am writing a couple of different reinforcement learning models based on Rainbow DQN or some PG models. All of them internally use an LSTM network because my project is using time series data. I ...

machine-learning reinforcement-learning long-short-term-memory open-ai time-series

asked Jun 21 '20 at 14:41

ZXY

311 bronze badge

1

vote

1answer

86 views

Is there a general file type associated with AI projects?

This is a general question. Is there a general file type associated with AI projects? Photoshop = .psd Excel = csv Artificial Intelligence = ?

open-ai implementation

asked May 26 '20 at 5:12

user8273608

111 bronze badge

0

votes

1answer

48 views

How to add more than 1 agent in one generation with Q Learning

Sometimes the agent learns a bit slow and you want to have multiple agents in one generation. And at each episode you'll draw on the screen only the best of them or all of them. How is that possible? ...

reinforcement-learning ai-design q-learning open-ai

asked May 20 '20 at 15:55

Marc Vana

153 bronze badges

3

votes

1answer

115 views

What should the action space for the card game Crib be?

I'm working on creating an environment for a card game, which the agent chooses to discard certain cards in the first phase of the game, and uses the remaining cards to play with. (The game is Crib if ...

reinforcement-learning ai-design open-ai environment gym

asked May 19 '20 at 20:29

Jordan Coil

333 bronze badges

1

vote

1answer

138 views

Can we combine Off-Policy with On-Policy Algorithms?

On-Policy Algorithms like PPO directly maximize the performance objective or an approximation of it. They tend to be quite stable and reliable but are often sample inefficient. Off-Policy Algorithms ...

reinforcement-learning deep-rl open-ai off-policy-methods on-policy-methods

asked May 7 '20 at 20:03

Ray Walker

4212 silver badges8 bronze badges

1

vote

0answers

47 views

State-of-the-art algorithms not working on a custom RL environment

I'm trying to train a RL agent on a custom, highly stochastic environment (MDP). In order to do so I'm using existing implementations of state-of-the-art RL algorithms as provided by Stable Baselines. ...

reinforcement-learning deep-rl markov-decision-process rewards open-ai

asked May 5 '20 at 20:12

BGa

1295 bronze badges

1

vote

1answer

840 views

OpenAI Gym: Multiple actions in one step

I'm trying to design an OpenAI Gym environment in which multiple users/players perform actions over time. It's round based and each user needs to take an action before the round is evaluated and the ...

reinforcement-learning open-ai environment gym

asked May 5 '20 at 15:59

CGFoX

1731 silver badge7 bronze badges

1

vote

0answers

126 views

How do i start building an autoclick bot for pubg mobile?

I want to make a bot which clicks the fire button on the mobile screen upon seeing an enemies head. In pubg mobile which is an android game you have to control the fire button and the aim along with ...

python image-recognition game-ai open-ai

asked May 1 '20 at 13:14

Fardeen Khan

111 bronze badge

1

vote

1answer

327 views

OpenAI spinning up convolutional networks with PPO [closed]

I am using pytorch version of PPO and I have image input that I need to process with convolutional neural networks, are there any examples on how to set up the network? I know that stable baselines ...

reinforcement-learning open-ai

asked Feb 23 '20 at 0:53

Visgean Skeloru

1112 bronze badges

5

votes

1answer

558 views

How to define an action space when an agent can take multiple sub-actions in a step?

I'm attempting to design an action space in OpenAI's gym and hitting the following roadblock. I've looked at this post which is closely related but subtly different. The environment I'm writing needs ...

reinforcement-learning ai-design open-ai gym

asked Feb 19 '20 at 7:40

Seyed Moein Ayyoubzadeh

1207 bronze badges

4

votes

1answer

49 views

Is a neural network able to optimize itself for speed?

I am experimenting with OpenAI Gym and reinforcement learning. As far as I understood, the environment is waiting for the agent to make a decision, so it's a sequential operation like this: ...

neural-networks reinforcement-learning open-ai markov-property

asked Jan 31 '20 at 8:14

Thomas Weller

2012 silver badges7 bronze badges

2

votes

2answers

285 views

Simulating successful trajectories in Montezuma's Revenge turns out to be unsuccessful

I have written code in OpenAI's gym to simulate a random playing in Montezuma's Revenge where the agent randomly samples actions from the action space and tries to play the game. A success for me is ...

reinforcement-learning open-ai rewards gym

asked Jan 27 '20 at 6:04

vikram71198

913 bronze badges

5

votes

1answer

1k views

How powerful is OpenAI's Gym and Universe in board games area? [closed]

I'm a big fan of computer board games and would like to make Python chess/go/shogi/mancala programs. Having heard of reinforcement learning, I decided to look at OpenAI Gym. But first of all, I would ...

reinforcement-learning open-ai chess gym go

asked Jan 26 '20 at 10:20

Taissa

634 bronze badges

0

votes

1answer

48 views

Why is this deep Q agent constantly learning just one action?

I'm trying to implement deep q learning in the OpenAI's gym "Taxi-v3" environment. But my agent only learns to do one action in every state. What am I doing wrong? Here is the Github repository with ...

deep-learning reinforcement-learning open-ai pytorch gym

asked Jan 16 '20 at 8:12

Voß

998 bronze badges

1

vote

1answer

417 views

Are there OpenAI Gym continuing environments (other than inverted pendulum) and baselines?

I would like to use OpenAI Gym to solve a continuing environment, that is, a problem with a single, never-ending episode (please note I don't mean a continuous environment with continuous state and ...

reinforcement-learning open-ai gym

asked Dec 5 '19 at 3:25

user118967

1774 bronze badges

1

vote

0answers

43 views

Same implementation, but agent is not learning in Retro Pong Environment

I tried to implement the exact same python coding by Andrej Karpathy to train RL agent to play Pong, except that I migrated the environment from Gym to Retro. Everything is the same except the action ...

neural-networks reinforcement-learning python open-ai

asked Nov 19 '19 at 2:32

Hoo

211 bronze badge

3

votes

1answer

338 views

Can OpenAI simulations be used in real world applications?

I know that classical control systems have been used to solve the problem of the inverted pendulum - inverted pendulum. But I've seen that people have also used machine learning techniques to solve ...

machine-learning reinforcement-learning applications open-ai control-theory

asked Nov 18 '19 at 14:59

blazingcannon

612 bronze badges

0

votes

1answer

68 views

Do algorithms like OpenAI's "think up strategies"?

I was discussing with a friend whether current AI does anything remotely similar to 'thinking' and he argued that AIs that play games must think up strategies. While thinking may not be precisely ...

deep-learning philosophy game-ai agi open-ai

asked Nov 13 '19 at 12:52

Frans Rodenburg

1464 bronze badges

1

vote

0answers

27 views

How am I getting same results 30 times faster than in original HER paper?

I am reproducing the results from Hindsight Experience Replay by Andrychowicz et. al. In the original paper they present the results below, where the agent is trained for 200 epochs. 200 epochs * 800 ...

deep-learning reinforcement-learning open-ai

asked Oct 31 '19 at 7:00

rrz0

2331 silver badge6 bronze badges

3

votes

3answers

2k views

Has anyone been able to solve OpenAI's hardcore bipedal walker with their implementation of DDPG?

As the question suggests, I'm trying to see if I can solve OpenAI's hardcore version of their gym's bipedal walker using OpenAI's DDPG algorithm. Below is a performance graph from my latest attempt, ...

reinforcement-learning tensorflow open-ai gym

asked Aug 7 '19 at 16:06

Chris Kempen

1431 silver badge8 bronze badges

2

votes

0answers

84 views

What is a high performing network architecture to use in a PPO2 MlpLnLstmPolicy RL model?

I am playing around with creating custom architectures in stable-baselines. Specifically I am training an agent using a PPO2 model. My question is, are there some rules of thumb or best practices in ...

reinforcement-learning open-ai

asked Aug 5 '19 at 10:11

PyRsquared

1854 bronze badges

1

vote

0answers

140 views

Understanding policy update in PPO2

I have a question regarding the functionality of the PPO2 algorithm together with the Stable Baselines implementation: From the original paper I know that the policy parameters $\theta$ are updated K-...

python open-ai policy-gradients proximal-policy-optimization

asked Jul 29 '19 at 11:32

mglss

814 bronze badges

0

votes

1answer

1k views

OpenAI Spinning Up: Breakout-v0 example [closed]

I haven't been able to find any assistance / examples which could help me implement OpenAI's Spinning Up resource to solve Atari's Breakout-v0 game in the OpenAI gym. I simply want to know why the ...

reinforcement-learning open-ai

asked Jul 23 '19 at 20:01

Chris Kempen

1431 silver badge8 bronze badges

1

vote

1answer

435 views

OpenAI Gym interface when reward calculation is delayed? (continuous control with considerable reaction time)

I'm about to create an OpenAI Gym environment for a flight simulator. I'm wondering, how to cope with the fact, that the result and reward for some action needs a considerable time to advance through ...

reinforcement-learning open-ai gym

asked May 27 '19 at 11:45

opt12

1512 bronze badges

1

vote

1answer

554 views

Advice on creating a new environment using OpenAI Gym

I'm looking for some general advice here before I dive in. I'm interested in creating a new environment for OpenAI gym to provide some slightly more challenging continuous control problems than the ...

python open-ai environment

asked May 14 '19 at 2:56

Bill

1216 bronze badges

4

votes

1answer

212 views

How did the OpenAI 5 for Dota concatenate units?

I am no expert in the field of AI so I apologize if this is a simple/easy question. I was trying to implement a network similar to OpenAI's for another game and I noticed that I did not fully ...

deep-learning open-ai deep-rl

asked Mar 25 '19 at 9:19

Isamu Isozaki

1412 bronze badges

1

vote

2answers

112 views

Running 2 NEAT nets on the same observations

So i have been playing around with neat-python. I made a program, applying neat, to play pinball on the Atari 2600. The code for that can be found in the file ...

deep-learning reinforcement-learning python neat open-ai

asked Mar 20 '19 at 13:47

niallmandal

1136 bronze badges

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