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Yes! We will open-source a multi-agent example in the next release!
For centralized Multi-agent reinforcement learning(MARL) algorithm, its implementation is similar to the single-agent algorithm.
For decentralized MARL algorithm, we can synchronize parameters among different agents by using xparl, the parallel computation tool in PARL.
Thanks for your interest in PARL. We are now working on the state-of-the-art algorithms on continuous spaces such as TD3, SAC. For other algorithms, we still need more time to implement.
how to deal with importing Multi-Agent Env or custom envs?
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