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gt-star-lab.github.io
Publicspec_clip
PublicCIMER
PublicMARBLER
PublicMulti-Robot RL Benchmark and Learning Environment for the Robotarium | IEEE MRS 2023- VMAS is a vectorized framework designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
Q-ITAGS
PublicJaxMARL_MARBLER
PublicKODex
PublicK-CBS-Expert
PublicContinuous-CBS
Publiccap-comm
PublicMARBLER-CA
PublicCMTAB
PublicD-ITAGS
PublicGRSTAPS
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