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License: MIT License
Baba Is You simulator using C++ with some reinforcement learning
License: MIT License
(dev) [nickp@m1 baba-babaisyou-v0 (main)]$ python3 DQN.py
Traceback (most recent call last):
File "DQN.py", line 16, in <module>
env = gym.make('baba-babaisyou-v0')
File "/Users/nickp/opt/anaconda3/envs/dev/lib/python3.7/site-packages/gym/envs/registration.py", line 601, in make
env = PassiveEnvChecker(env)
File "/Users/nickp/opt/anaconda3/envs/dev/lib/python3.7/site-packages/gym/wrappers/env_checker.py", line 25, in __init__
check_observation_space(env.action_space)
File "/Users/nickp/opt/anaconda3/envs/dev/lib/python3.7/site-packages/gym/utils/passive_env_checker.py", line 145, in check_observation_space
f"Observation space ({observation_space}) does not inherit from gym.spaces.Space"
AssertionError: Observation space ([<Direction.UP: 1>, <Direction.DOWN: 2>, <Direction.LEFT: 3>, <Direction.RIGHT: 4>]) does not inherit from gym.spaces.Space
Python 3.7.10
gym.__version__ = '0.24.1'
Related #17.
I'll make a simple GUI program to test the result of Reinforcement Learning with DQN.
I'll add C++ and Python API documentation for users that use this environment.
We'll make the game that can move an object and parse rules.
I'll make some levels to provide various environments.
I checked that pygame >= 2.0.0
not supports set_palette
in SDL 2. I should resolve this problem.
To resume the project after a long hiatus, we're going to start by updating the library version.
I'll add install guide for users that use this environment.
References: https://github.com/utilForever/styler
We'll implement Python API using pybind11 to make gym-based environment and DQN.
Related #16.
I'll refactor code to improve architecture and readability.
hi, how can I use this framework? and is it ok to compile with Visual Studio 16 2019?
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