Creating an atari-like game in OpenAI gym
I've followed the following stackoverflow answer to create a new gym-environment:
Is it possible to create a new gym environment in OpenAI?
My environment code is at: https://github.com/meagmohit/gym-catch/blob/master/gym_catch/envs/catch_env.py
However, I want to create an exactly atari-like environment such that I can run DQN algorithms (for e.g. OpenAI baselines, https://github.com/carpedm20/deep-rl-tensorflow), I can use as it is by adding an addition, import gym_catch command in the main file and providing the catch-v0 as the environment name.
Specifically, running an existing DQN code on atari-like environments e.g. Pong-v0 etc. calls special functions like env.unwrapped.ale.<xyz> etc. These can only be available through the atari-py interface when provided with the ROMs of the atari games. Is it possible to write a gym environment which would behave exactly as the atari-py type environment?
python reinforcement-learning openai-gym
asked Nov 24 '18 at 21:40
Mohit AgarwalMohit Agarwal
4115
add a comment |
I've followed the following stackoverflow answer to create a new gym-environment:
Is it possible to create a new gym environment in OpenAI?
My environment code is at: https://github.com/meagmohit/gym-catch/blob/master/gym_catch/envs/catch_env.py
However, I want to create an exactly atari-like environment such that I can run DQN algorithms (for e.g. OpenAI baselines, https://github.com/carpedm20/deep-rl-tensorflow), I can use as it is by adding an addition, import gym_catch command in the main file and providing the catch-v0 as the environment name.
Specifically, running an existing DQN code on atari-like environments e.g. Pong-v0 etc. calls special functions like env.unwrapped.ale.<xyz> etc. These can only be available through the atari-py interface when provided with the ROMs of the atari games. Is it possible to write a gym environment which would behave exactly as the atari-py type environment?
python reinforcement-learning openai-gym
asked Nov 24 '18 at 21:40
Mohit AgarwalMohit Agarwal
4115
add a comment |
I've followed the following stackoverflow answer to create a new gym-environment:
Is it possible to create a new gym environment in OpenAI?
My environment code is at: https://github.com/meagmohit/gym-catch/blob/master/gym_catch/envs/catch_env.py
However, I want to create an exactly atari-like environment such that I can run DQN algorithms (for e.g. OpenAI baselines, https://github.com/carpedm20/deep-rl-tensorflow), I can use as it is by adding an addition, import gym_catch command in the main file and providing the catch-v0 as the environment name.
Specifically, running an existing DQN code on atari-like environments e.g. Pong-v0 etc. calls special functions like env.unwrapped.ale.<xyz> etc. These can only be available through the atari-py interface when provided with the ROMs of the atari games. Is it possible to write a gym environment which would behave exactly as the atari-py type environment?
python reinforcement-learning openai-gym
asked Nov 24 '18 at 21:40
Mohit AgarwalMohit Agarwal
4115
I've followed the following stackoverflow answer to create a new gym-environment:
Is it possible to create a new gym environment in OpenAI?
My environment code is at: https://github.com/meagmohit/gym-catch/blob/master/gym_catch/envs/catch_env.py
However, I want to create an exactly atari-like environment such that I can run DQN algorithms (for e.g. OpenAI baselines, https://github.com/carpedm20/deep-rl-tensorflow), I can use as it is by adding an addition, import gym_catch command in the main file and providing the catch-v0 as the environment name.
Specifically, running an existing DQN code on atari-like environments e.g. Pong-v0 etc. calls special functions like env.unwrapped.ale.<xyz> etc. These can only be available through the atari-py interface when provided with the ROMs of the atari games. Is it possible to write a gym environment which would behave exactly as the atari-py type environment?
python reinforcement-learning openai-gym
python reinforcement-learning openai-gym
asked Nov 24 '18 at 21:40
Mohit AgarwalMohit Agarwal
4115
asked Nov 24 '18 at 21:40
Mohit AgarwalMohit Agarwal
4115
asked Nov 24 '18 at 21:40
Mohit AgarwalMohit Agarwal
4115
asked Nov 24 '18 at 21:40
Mohit AgarwalMohit Agarwal
4115
asked Nov 24 '18 at 21:40
Mohit AgarwalMohit Agarwal
4115
4115
add a comment |
add a comment |
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