Newest 'open-ai' Questions

2

votes

2answers

153 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 ...

asked 2 days ago

vikram71198

212 bronze badges

4

votes

1answer

46 views

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

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 2 days ago

Taissa

433 bronze badges

0

votes

1answer

27 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 doning wrong? Here is the Github repository with ...

deep-learning reinforcement-learning open-ai pytorch gym

asked Jan 16 at 8:12

OleVoß

776 bronze badges

1

vote

1answer

52 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

1654 bronze badges

0

votes

0answers

18 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

11

2

votes

1answer

58 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

312 bronze badges

0

votes

1answer

52 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 strong-ai open-ai

asked Nov 13 '19 at 12:52

Frans Rodenburg

1464 bronze badges

2

votes

0answers

23 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

1736 bronze badges

2

votes

1answer

34 views

What is the difference between success rate and reward when dealing with binary and sparse rewards?

In OpenAI Gym reward is defined as: reward (float): amount of reward achieved by the previous action. The scale varies between environments, but the goal is ...

reinforcement-learning open-ai

asked Oct 30 '19 at 12:09

Rrz0

1736 bronze badges

1

vote

0answers

21 views

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 ...

game-ai open-ai gym atari-games

asked Oct 7 '19 at 9:16

BBloggsbott

112 bronze badges

0

votes

0answers

33 views

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 '19 at 5:48

Khush Agrawal

214 bronze badges

1

vote

1answer

18 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 '19 at 10:57

Manuel Rodriguez

2,4911 gold badge5 silver badges29 bronze badges

2

votes

0answers

229 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

1214 bronze badges

1

vote

0answers

38 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

1753 bronze badges

0

votes

0answers

60 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

214 bronze badges

0

votes

1answer

292 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 '19 at 20:01

Chris Kempen

1214 bronze badges

0

votes

1answer

95 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

1

0

votes

1answer

265 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

1112 bronze badges

3

votes

0answers

19 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 '19 at 17:07

user25448

311 bronze badge

0

votes

0answers

19 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 '19 at 17:31

FatherShawn

1011 bronze badge

1

vote

0answers

121 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 '19 at 6:27

Shritej Chavan

214 bronze badges

0

votes

0answers

21 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 '19 at 2:10

niallmandal

935 bronze badges

2

votes

1answer

171 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 '19 at 19:10

Romain B.

1394 bronze badges

4

votes

0answers

56 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

412 bronze badges

1

vote

2answers

68 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

935 bronze badges

0

votes

1answer

57 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 '19 at 21:17

JCP

838 bronze badges

6

votes

1answer

601 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 '19 at 16:30

niallmandal

935 bronze badges

1

vote

2answers

77 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 '19 at 17:37

El Dude

1212 bronze badges

5

votes

3answers

855 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 '19 at 13:23

ytolochko

1253 bronze badges

0

votes

0answers

60 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 '19 at 11:47

Angelo

1758 bronze badges

2

votes

0answers

2k 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 '19 at 13:07

Tom Hale

2382 silver badges11 bronze badges

2

votes

1answer

147 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 '19 at 14:14

Gulzar

4391 silver badge11 bronze badges

3

votes

2answers

449 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 '19 at 11:39

hridayns

2011 silver badge6 bronze badges

0

votes

1answer

62 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 '19 at 16:39

Gulzar

4391 silver badge11 bronze badges

4

votes

3answers

581 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

413 bronze badges

1

vote

1answer

347 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

838 bronze badges

2

votes

2answers

128 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

1292 bronze badges

2

votes

0answers

243 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

2731 silver badge7 bronze badges

1

vote

0answers

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

372 bronze badges

2

votes

1answer

66 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

1756 bronze badges

2

votes

1answer

130 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

3432 silver badges9 bronze badges

1

vote

1answer

461 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

1335 bronze badges

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