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matteobettini/README.md

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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 350 71

  2. facebookresearch/BenchMARL facebookresearch/BenchMARL Public

    A collection of MARL benchmarks based on TorchRL

    Python 293 42

  3. pytorch/rl pytorch/rl Public

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

    Python 2.4k 315

  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 15 1

  5. proroklab/HetGPPO proroklab/HetGPPO Public

    Heterogeneous Multi-Robot Reinforcement Learning

    Python 35 13

  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 65 19