Safe-RLLab's repositories
Safe-MARL-in-Autonomous-Driving
Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving.
Uncertainty-in-RL
The repository is for Reinforcement-Learning Uncertainty research, in which we investigate various uncertain factors in RL.
LLM-RL-Robotics-Papers
Large Language Models and Robotics.
Robust-Gymnasium
A unifying robust reinforcement learning benchmark.
Robust-RL-Baselines
Robust Reinforcement Learning Benchmark
Safe-Multi-Objective-MuJoCo
Safe Multi-Objective MuJoCo Benchmark.
Safety-MuJoCo
Safety-MuJoCo Environments
Safe-RL-Workshop-Seminar
Safe Reinforcement Learning Workshops and Seminars.
coordination
Learning to Coordinate Manipulation Skills via Skill Behavior Diversification (ICLR 2020)
Massive-MARL-Benchmark
Massive Multi-Agent Reinforcement Learning Benchmark.
Multi-Agent-Constrained-Policy-Optimisation
Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
Safe-Multi-Agent-Isaac-Gym
Safe Multi-Agent Isaac Gym benchmark for safe multi-agent reinforcement learning research.
Safe-Multi-Agent-Mujoco
Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.
Safe-Multi-Agent-Robosuite
Safe Multi-Agent Robosuite benchmark for safe multi-agent reinforcement learning research.
TeaMs-RL
TeaMs-RL: Teaching LLMs to Teach Themselves Better Instructions via Reinforcement Learning
Trusted-RL-for-Autonomous-Driving
Trusted reinforcement learning algorithms for autonomous driving.
Safe-Policy-Optimization
This is a benchmark repository for safe reinforcement learning algorithms
Safe-Policy-Optimization-Parallel-Version
This is a benchmark repository for safe reinforcement learning algorithms
Safe-Reinforcement-Learning-Baselines
The repository is for safe reinforcement learning baselines.