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1. proroklab/VectorizedMultiAgentSimulator proroklab/VectorizedMultiAgentSimulator Public

   VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set …

   Python 436 85

2. facebookresearch/BenchMARL facebookresearch/BenchMARL Public

   BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically ground…

   Python 416 84

3. pytorch/rl pytorch/rl Public

   A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

   Python 2.9k 383

4. proroklab/ControllingBehavioralDiversity proroklab/ControllingBehavioralDiversity Public

   This repository contains the code for Diversity Control (DiCo), a novel method to constrain behavioral diversity in multi-agent reinforcement learning.

   Python 24 3

5. proroklab/HetGPPO proroklab/HetGPPO Public

   Heterogeneous Multi-Robot Reinforcement Learning

   Python 50 14

6. Traffic-Assignment-Frank-Wolfe-2021 Traffic-Assignment-Frank-Wolfe-2021 Public

   This simple script computes the traffic assignment using the Frank-Wolfe algorithm (FW) or the Method of successive averages (MSA). It can compute the User Equilibrium (UE) assignment or the System…

   Python 74 20