Python Multi-Agent Reinforcement Learning framework

This is the repository of the F1TENTH Gym environment.

CDC2024_submission_repository

SGLang is a fast serving framework for large language models and vision language models.

Trust aware CBFs

📋 A list of open LLMs available for commercial use.

Server for Pokemon Dream World

[NeurIPS 2023] Neural Lyapunov Control for Discrete-Time Systems

Neural Lyapunov control of unknown nonlinear systems with stability guarantees

SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving

🚀 A fast safe reinforcement learning library in PyTorch

RoutingKit is a C++ library that provides advanced route planning functionality.

implementation of MADDPG using PyTorch and multiagent-particle-envs

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework

Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning

Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)

Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).

Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"

Rule-Based Safety-Critical Control Design with Application to Autonomous Lane Change https://arxiv.org/abs/2103.12382

This repository includes the source code and dataset information needed to reproduce the results from our paper. For more information about our lab please visit https://aicps.eng.uci.edu

A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

Constrained Policy Optimization

Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates