feature(xrk): add new env named Flozen Lake and DQN algorithm. #779
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PaParaZz1
requested changes
Mar 11, 2024
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| policy = dict( | ||
| cuda=True, | ||
| load_path='cartpole_dqn_seed0/ckpt/ckpt_best.pth.tar', |
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remove unused fields or update its values
| end=0.1, | ||
| decay=10000, | ||
| ), | ||
| replay_buffer=dict(replay_buffer_size=128, ), |
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| @ENV_REGISTRY.register('frozen_lake') | ||
| class FrozenLakeEnv(BaseEnv): | ||
| @classmethod |
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| @staticmethod | ||
| def frames_to_gif(self,frames, gif_path, duration=0.1): | ||
| """ |
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add English comments and Python typing lint
| env.seed(314,dynamic_seed=False) | ||
| assert env._seed == 314 | ||
| obs = env.reset() | ||
| print(obs) |
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add some assertions about the results of env.step
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Description
Add adaptation to gymnasium environment and give examples based on DQN algorithm
Related Issue
TODO
Need to be compatible with the latest pipeline
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