-
University of Cambridge
- Cambridge
- www.matteobettini.com
Highlights
- Pro
Pinned Loading
-
proroklab/VectorizedMultiAgentSimulator
proroklab/VectorizedMultiAgentSimulator PublicVMAS 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 …
-
facebookresearch/BenchMARL
facebookresearch/BenchMARL PublicA collection of MARL benchmarks based on TorchRL
-
pytorch/rl
pytorch/rl PublicA modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
-
proroklab/ControllingBehavioralDiversity
proroklab/ControllingBehavioralDiversity PublicThis repository contains the code for Diversity Control (DiCo), a novel method to constrain behavioral diversity in multi-agent reinforcement learning.
-
proroklab/HetGPPO
proroklab/HetGPPO PublicHeterogeneous Multi-Robot Reinforcement Learning
-
Traffic-Assignment-Frank-Wolfe-2021
Traffic-Assignment-Frank-Wolfe-2021 PublicThis 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…
If the problem persists, check the GitHub status page or contact support.