feature(whl): add PC+MCTS code #603
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PaParaZz1
requested changes
Mar 9, 2023
| learner=dict(hook=dict(save_ckpt_after_iter=1000)), | ||
| train_epoch=20, | ||
| ), | ||
| eval=dict(evaluator=dict(eval_freq=40, )) |
| qbert_pc_mcts_config = dict( | ||
| exp_name='pong_pc_mcts_seed0', | ||
| env=dict( | ||
| manager=dict( |
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remove unmodified default config
| @@ -245,7 +245,10 @@ def eval( | |||
| if self._cfg.figure_path is not None: | |||
| self._env.enable_save_figure(env_id, self._cfg.figure_path) | |||
| self._policy.reset([env_id]) | |||
| reward = t.info['eval_episode_return'] | |||
| if 'final_eval_reward' in t.info.keys(): | |||
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final_eval_reward has been renamed to eval_episode_return
| def _forward_collect(self, data: Dict[int, Any], **kwargs) -> Dict[int, Any]: | ||
| pass | ||
|
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| def _process_transition(self, obs: Any, model_output: dict, timestep: namedtuple) -> dict: |
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polish methods related to collect
| output = {'action': output} | ||
| output = default_decollate(output) | ||
| # TODO why this bug? | ||
| output = [{'action': o['action'].item()} for o in output] |
added 21 commits
March 15, 2023 17:40
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Description
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TODO
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