Comments (2)
Theohhhu
commented on June 2, 2024
Hi. Sorry for the confusion. The mask_flag indicates whether there is a mask available for the action. The global_state_flag is used to indicate whether the natural state is provided for use, such as in SMAC, compared to cases where we need to produce it ourselves, as in MPE. opp_action_in_cc is used to include the actions of other agents in the centralized value function, such as the critic of MAPPO. agent_level_batch_update is a switch that toggles between batch-based RL updates or minibatch-based RL updates.
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HawkQ
commented on June 2, 2024
Same question here, I want to use my customized env, pure handmade, wish to find some more examples or tutorials, THANKS!
遇到了类似的问题，我想使用我自定义的环境，但add_new_env.py仍不能解答全部疑惑，希望可以在文档中加入更多普适性示例或教程，谢谢！
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Related Issues (20)
- Marllib seems never uses gpu devices HOT 2
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- TypeError in ray HOT 3
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- Evaluating agents after training HOT 2
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