Newest 'open-ai' Questions

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Getting score values from openai gym rom

I am using the SpaceInvaders-ram-v0 from OpenAI gym. I want to extract the game's current score using the RAM values. How do I get it? I tried doing some research ...

asked Oct 7 at 9:16

BBloggsbott

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DQN unlearns certain OpenAI-Gym environments

I solved the OpenAI-Gym MountainCar-v0 environment using dqn(using low-state-dimensional input). When I used the same code for solving CartPole-v0 environment, the network got trained in the reverse ...

reinforcement-learning dqn deep-rl open-ai

asked Sep 21 at 5:48

Khush Agrawal

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1answer

16 views

Is there a train simulator with scripting interface?

Artificial Intelligence is usually teached with robotics in mind. The problem with car like robots is, that the amount of control which is needed is huge. A car has a position, a speed value, a ...

gaming open-ai

asked Sep 19 at 10:57

Manuel Rodriguez

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50 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 at 16:06

Chris Kempen

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18 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 at 10:11

PyRsquared

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33 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 at 11:32

mglss

164 bronze badges

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1answer

84 views

OpenAI Spinning Up: Breakout-v0 example

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 at 20:01

Chris Kempen

1114 bronze badges

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1answer

48 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 at 11:45

opt12

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1answer

71 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 at 2:56

Bill

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17 views

Is it possible to insert a new map in the OpenAI Gym Taxi V.2?

I would like to train a neural network with the OpenAI Gym Taxi and see how it would react on a new map. Is it possible to insert a new map in the OpenAI Gym Taxi V.2?

open-ai academia

asked May 6 at 17:07

user25448

111 bronze badge

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17 views

Can an OpenAI Gym Action be any object?

The gym core file simply defines action as in step(action) as an "object". I've searched for an Action object in the code without success. Can it be any python ...

open-ai

asked Apr 25 at 17:31

FatherShawn

1011 bronze badge

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vote

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61 views

Difficulty in balancing Pendulum using Deep Reinforcement Learning Algorithm

I am using OpenAI Gym framework for reinforcement learning where I am trying solve classic control problem of balancing an Inverted Pendulum, which is similar to the "Pendulum-v0" with some changes in ...

reinforcement-learning open-ai environment gym

asked Apr 23 at 6:27

Shritej Chavan

114 bronze badges

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19 views

Turn a NES ROM into object/tile representation

So i have a rom of a hacked super mario game (it has 2 players: Mario and Luigi). Feeding in the raw pixel data of this results in very poor rewards. I was wondering if there was a way to transform ...

deep-learning reinforcement-learning neat open-ai

asked Apr 16 at 2:10

niallmandal

385 bronze badges

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votes

1answer

109 views

Bachelor thesis in reinforcement learning

I've decided to make my bachelor thesis in RL. I am currently struggling in finding a proper problematic. I am interested in multi-agent RL with the dilemma between selfishness and cooperation. I ...

reinforcement-learning open-ai academia

asked Apr 9 at 19:10

Romain B.

1044 bronze badges

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vote

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29 views

Generate text from single word/topic using pre-trained language models such as GPT or BERT?

I have a dataset of 100000 documents each labelled with a topic to it. I want to create a model such that given a topic, the model can generate a document from it. I came across language models GPT, ...

natural-language-processing open-ai

asked Apr 3 at 13:15

mayank agrawal

1318 bronze badges

4

votes

0answers

46 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 at 9:19

Isamu Isozaki

212 bronze badges

1

vote

2answers

63 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 at 13:47

niallmandal

385 bronze badges

0

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1answer

39 views

OpenAI-Gym excess of actions

I'm trying to replicate the DeepMind DQN paper, and actually I'm using the OpenAI-Gym enviroment. I'm trying to get a decent score with Space Invaders (using ...

deep-learning reinforcement-learning game-ai dqn open-ai

asked Mar 13 at 21:17

JCP

588 bronze badges

6

votes

1answer

337 views

2 Player Games in OpenAI Retro

I have been using OpenAI Retro for awhile, and I wanted to experiment with two player games. By two player games, I mean co-op games like "Tennis-Atari2600" or even Pong, where 2 agents are present in ...

machine-learning deep-learning reinforcement-learning python open-ai

asked Mar 12 at 16:30

niallmandal

385 bronze badges

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vote

1answer

49 views

OpenAI Gym for other platforms

Is there a way to run C64 / Nintendo Gameboy / other platforms in an OpenAI-Gym like environment? Seems it's Atari games only.

reinforcement-learning open-ai

asked Mar 8 at 17:37

El Dude

1162 bronze badges

4

votes

3answers

446 views

Huge action space size in Reinforcement Learning

I am working on creating a RL based AI for a certain board game. Just as a general overview of the game so that you understand what it's all about: It's a discrete turn-based game with a board of size ...

reinforcement-learning dqn open-ai

asked Mar 6 at 13:23

ytolochko

553 bronze badges

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44 views

Extend Gym Environment for recommendation with kerasRL and some questions

I want to make a simple recommendation system based on reinforcement learning using kerasRL and OpenAI Gym. My point is that I'...

reinforcement-learning keras open-ai deep-rl

asked Mar 6 at 11:47

Angelo

458 bronze badges

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1k views

How do I use GPT-2 to summarise text?

In section 3.6 of the OpenAI GPT-2 paper it mentions summarising text based relates to this, but the method is described in very high-level terms: To induce summarization behavior we add the text <...

open-ai text-summarization

asked Mar 3 at 13:07

Tom Hale

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1

vote

1answer

100 views

Which Openai Gym environment should I use to test a Temporal Difference RL Agent?

Up to now, I have been using (my version of) open AI's code, with the suggested CartPole. I have been using Monte Carlo methods, which, for cartpole, seemed to work fine. Trying to move to temporal ...

machine-learning reinforcement-learning open-ai

asked Feb 2 at 14:14

Gulzar

23211 bronze badges

3

votes

2answers

294 views

Each training run for DDQN agent takes 2 days, and still ends up with -13 avg score, but OpenAi baseline DQN needs only an hour to converge to +18?

Status: For a few weeks now, I have been working on a Double DQN agent for the PongDeterministic-v4 environment, which you can find here. A single training run ...

deep-learning reinforcement-learning dqn open-ai deepmind

asked Jan 30 at 11:39

hridayns

1716 bronze badges

0

votes

1answer

47 views

What does the Critic network evaluate in Actor Critic?

Following Pytorch's actor critic, I understand that the critic is a function mapping from the state space to the reward space, meaning, the critic approximates the state-value funcion. However, ...

machine-learning reinforcement-learning open-ai

asked Jan 25 at 16:39

Gulzar

23211 bronze badges

3

votes

3answers

398 views

How to implement a Continuous Control of a quadruped robot with Deep Reinforcement Learning in Pybullet and OpenAI Gym?

Description I have designed this robot in URDF format and its environment in pybullet. Each leg has a minimum and maximum value of movement. What reinforcement algorithm will be best to create a ...

deep-learning reinforcement-learning tensorflow unsupervised-learning open-ai

asked Dec 27 '18 at 17:30

Ruben A. Chevez

163 bronze badges

1

vote

1answer

240 views

DQN Breakout adding an extra negative reward to help training?

I'm trying to train a DQN, so I'm using OpenAI gym and Breakout (Breakout-v0). I have altered the reward supplied by the environment: If the episode is not completed fully, the agent gets a -10 ...

ai-design training game-ai dqn open-ai

asked Nov 21 '18 at 13:33

JCP

588 bronze badges

1

vote

2answers

117 views

3D environment for RL research in Academia

I'm doing my thesis on Reinforcement Learning. My focus on Partially Observable Environments like 3D Games. I want to choose a 3D platform for testing and doing ...

machine-learning reinforcement-learning research deepmind open-ai

asked Nov 1 '18 at 7:28

Fcoder

1092 bronze badges

2

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0answers

208 views

How many episodes does it take for a vanilla one-step actor-critic agent to master the OpenAI BipedalWalker-v2 problem?

I'm trying to solve the OpenAI BipedalWalker-v2 by using a one-step actor-critic agent. I'm implementing the solution using python and tensorflow. I'm following this pseudo-code taken from the book ...

reinforcement-learning tensorflow python open-ai

asked Sep 5 '18 at 22:45

Diego Orellana

1887 bronze badges

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58 views

Cameras for automatic customer service machine [closed]

For my university project, I am planning to build an automated customer service machine. One which recognizes when someone approaches the camera according to says hello, etc. Also, I am planning to ...

machine-learning deep-learning image-recognition hardware-evaluation open-ai

asked Aug 22 '18 at 9:32

Duke Glacia

172 bronze badges

2

votes

1answer

62 views

Can the opponent's turn affect the reward for a DQN agent action?

I made an engine for a 2 players card game and now I am trying to make an environment similar to OpenAI Gym envs, to ease out the training. I fail to understand this thing however: If I use ...

reinforcement-learning dqn open-ai

asked Jul 15 '18 at 11:44

Haytam

1406 bronze badges

2

votes

1answer

123 views

Should the exploration rate be reset after each trial in Q-learning?

As the title says, should I reset the exploration rate between trials? I am currently doing the Open AI pendulum task and after a number of trials my model started playing but did not take any ...

reinforcement-learning q-learning open-ai

asked May 12 '18 at 22:23

MattSt

1831 silver badge7 bronze badges

1

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1answer

421 views

OpenAI Gym: How is “experience” stored?

I have been playing around with the Pong-v0 game. After few days, the AI was able to beat it. I stopped the script for a moment and ran it again. For my surprise it seems it started all over again. ...

open-ai

asked Sep 27 '17 at 9:49

lepe

1115 bronze badges

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Questions tagged [open-ai]

Getting score values from openai gym rom

DQN unlearns certain OpenAI-Gym environments

Is there a train simulator with scripting interface?

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

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

Understanding policy update in PPO2

OpenAI Spinning Up: Breakout-v0 example

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

Advice on creating a new environment using OpenAI Gym

Is it possible to insert a new map in the OpenAI Gym Taxi V.2?

Can an OpenAI Gym Action be any object?

Difficulty in balancing Pendulum using Deep Reinforcement Learning Algorithm

Turn a NES ROM into object/tile representation

Bachelor thesis in reinforcement learning

Generate text from single word/topic using pre-trained language models such as GPT or BERT?

How did the OpenAI 5 for Dota concatenate units?

Running 2 NEAT nets on the same observations

OpenAI-Gym excess of actions

2 Player Games in OpenAI Retro

OpenAI Gym for other platforms

Huge action space size in Reinforcement Learning

Extend Gym Environment for recommendation with kerasRL and some questions

How do I use GPT-2 to summarise text?

Which Openai Gym environment should I use to test a Temporal Difference RL Agent?

Each training run for DDQN agent takes 2 days, and still ends up with -13 avg score, but OpenAi baseline DQN needs only an hour to converge to +18?

What does the Critic network evaluate in Actor Critic?

How to implement a Continuous Control of a quadruped robot with Deep Reinforcement Learning in Pybullet and OpenAI Gym?

DQN Breakout adding an extra negative reward to help training?

3D environment for RL research in Academia

How many episodes does it take for a vanilla one-step actor-critic agent to master the OpenAI BipedalWalker-v2 problem?

Cameras for automatic customer service machine [closed]

Can the opponent's turn affect the reward for a DQN agent action?

Should the exploration rate be reset after each trial in Q-learning?

OpenAI Gym: How is “experience” stored?

Hot Network Questions

Questions tagged [open-ai]

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