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1. D2R_MTRL D2R_MTRL Public

   Codes of D2R accompanying the paper "Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing"(AAAI 2024).

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2. SeCA SeCA Public

   Codes of SeCA accompanying the paper "Sequential Cooperative Multi-Agent Reinforcement Learning"(AAMAS 2023). SeCA is a sequential credit assignment method that factorizes and simplifies the comple…

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3. Metaworld Metaworld Public

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   Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

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4. rlkit rlkit Public

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5. ucasproposal ucasproposal Public

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   LaTeX Proposal Template for the University of Chinese Academy of Sciences

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6. scalable-marl scalable-marl Public

   Forked from thomyphan/scalable-marl

   Scalable Multi-Agent Reinforcement Learning

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