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报错定位于runner/separated/env_runner.py中的collcet函数中的 actions = np.array(actions).transpose(1, 0, 2) 初步排查发现在这句代码上面的循环中,当agent_id取1时,生成的动作的shape与agent_id取0时不同
The text was updated successfully, but these errors were encountered:
发现原因,action_space分别为Discrete,MultiDiscrete2,MultiDiscrete3……,使得后面智能体的输出的动作维度错误 解决此问题需要修改envs/env_discrete.py中生成action_space数组的逻辑
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报错定位于runner/separated/env_runner.py中的collcet函数中的
actions = np.array(actions).transpose(1, 0, 2)
初步排查发现在这句代码上面的循环中,当agent_id取1时,生成的动作的shape与agent_id取0时不同
The text was updated successfully, but these errors were encountered: