feature(yzj): add ptz ctde pipeline #108
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puyuan1996
reviewed
Oct 16, 2023
| @@ -242,7 +252,7 @@ def _prepare_reward_value_context( | |||
| value_mask.append(0) | |||
| obs = zero_obs | |||
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| value_obs_list.append(obs) | |||
| value_obs_list.append(obs.tolist()) | |||
lzero/model/muzero_model_mlp.py
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| latent_state = self._representation(obs) | ||
| policy_logits, value = self._prediction(latent_state) | ||
| return MZNetworkOutput( | ||
| value, | ||
| [0. for _ in range(batch_size)], | ||
| policy_logits, | ||
| latent_state, | ||
| latent_state[1], |
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latent_state里面每项的含义是？是(agent_state_B, global_state)吗？加一下注释
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| @ENV_REGISTRY.register('petting_zoo') | ||
| class PettingZooEnv(BaseEnv): | ||
| # Now only supports simple_spread_v2. |
| # rew_n = rew_n / (self._cfg.get('max_cycles', 25) * self._num_agent) | ||
| self._eval_episode_return += rew_n.item() | ||
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| # occupied_landmarks = info['n'][0][3] |
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step函数注释掉的这些之前是什么作用呀？现在为什么又要注释掉
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update in #149 |
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