Pinned

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 252 49

2. facebookresearch/BenchMARL facebookresearch/BenchMARL Public

   A collection of MARL benchmarks based on TorchRL

   Python 163 14

3. pytorch/rl pytorch/rl Public

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

   Python 1.9k 254

4. proroklab/HetGPPO proroklab/HetGPPO Public

   Heterogeneous Multi-Robot Reinforcement Learning

   Python 28 11

5. 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 53 15

6. proroklab/rllib_differentiable_comms proroklab/rllib_differentiable_comms Public

   This is a minimal example to demonstrate how multi-agent reinforcement learning with differentiable communication channels and centralized critics can be realized in RLLib. This example serves as a…

   Python 37 3