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VectorizedMultiAgentSimulator
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 …
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gnn_pathplanning
gnn_pathplanning PublicGraph Neural Networks for Decentralized Path Planning
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rllib_differentiable_comms
rllib_differentiable_comms PublicThis 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…
Repositories
- 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 of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
proroklab/VectorizedMultiAgentSimulator’s past year of commit activity - cambridge-robomaster Public
This is the source repository containing all information necessary to reproduce the Cambridge RoboMaster platform.
proroklab/cambridge-robomaster’s past year of commit activity - ControllingBehavioralDiversity Public
This repository contains the code for Diversity Control (DiCo), a novel method to constrain behavioral diversity in multi-agent reinforcement learning.
proroklab/ControllingBehavioralDiversity’s past year of commit activity - magat_pathplanning Public
proroklab/magat_pathplanning’s past year of commit activity
