safe-reinforcement-learning topic

Open-source reinforcement learning environment for autonomous racing — featured as a conference paper at ICCV 2021 and as the official challenge tracks at both SL4AD@ICML2022 and AI4AD@IJCAI2022. Thes...

learn-to-race

Implementations of SAILR, PDO, and CSC

nolanwagener

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

liuzuxin

Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad class of safety-critical learning and control tasks.

wanxinjin

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

chauncygu

Safe Multi-Agent Isaac Gym benchmark for safe multi-agent reinforcement learning research.

chauncygu

JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.

PKU-Alignment

Training (hopefully) safe agents in gridworlds

jvmncs

NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark

PKU-Alignment

A Multiplicative Value Function for Safe and Efficient Reinforcement Learning. IROS 2023.

nikeke19