Alternatives and similar repositories for robust-safe-rl

Users that are interested in robust-safe-rl are comparing it to the libraries listed below

• liuzuxin / cvpo-safe-rl
  Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)
  ☆80Updated 2 years ago
• chauncygu / Safe-Multi-Agent-Mujoco
  Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.
  ☆65Updated last year
• jjyyxx / srlnbc
  Model-Free Safe Reinforcement Learning through Neural Barrier Certificate
  ☆40Updated last year
• liuzuxin / safe-rl-robustness
  Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)
  ☆46Updated 8 months ago
• rllab-snu / Safe-Distributional-Actor-Critic
  Official Github Repository for "Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints". (NeurIPS 2023)
  ☆19Updated 9 months ago
• zlr20 / saferl_kit
  ☆75Updated last year
• mahaitongdae / Reachability_Constrained_RL
  Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.
  ☆37Updated 3 years ago
• liuzuxin / FSRL
  🚀 A fast safe reinforcement learning library in PyTorch
  ☆209Updated 10 months ago
• SvenGronauer / RL-Safety-Algorithms
  Implementations of safe reinforcement learning algorithms
  ☆28Updated last year
• SimonZhan-code / Step-Wise_SafeRL_Pixel
  Code space for L4DC paper "State-wise Safe Reinforcement Learning With Pixel Observations"
  ☆12Updated last year
• AgrawalAmey / safe-explorer
  Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]
  ☆72Updated 6 years ago
• TJU-DRL-LAB / self-supervised-rl
  ☆41Updated 3 years ago
• AlgTUDelft / WCSAC
  Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"
  ☆58Updated 2 years ago
• DesikRengarajan / EMRLD
  [NeurIPS 2022] Code for Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments
  ☆12Updated 2 years ago
• liuzuxin / DSRL
  🔥 Datasets and env wrappers for offline safe reinforcement learning
  ☆98Updated 11 months ago
• SvenGronauer / Bullet-Safety-Gym
  An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.
  ☆70Updated 2 years ago
• Plankson / CSIRL
  [IEEE Transactions on Intelligent Transportation Systems] Curricular Subgoal for Inverse Reinforcement Learning
  ☆15Updated 2 years ago
• bitzhangcy / Safe-Deep-Reinforcement-Learning
  ☆53Updated last month
• umd-huang-lab / WocaR-RL
  Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning
  ☆26Updated last year
• zaiyan-x / RFQI
  Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]
  ☆24Updated 9 months ago
• matthias-weissenbacher / KFC
  Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics.
  ☆21Updated last year
• Jingliang-Duan / DSAC-v1
  DSAC; Distributional Soft Actor-Critic
  ☆129Updated 6 months ago
• wenchiyang / pls
  ☆13Updated last year
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆111Updated 4 years ago
• Dragon-Zhuang / BPPO
  Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).
  ☆87Updated last year
• liuzuxin / OSRL
  🤖 Elegant implementations of offline safe RL algorithms in PyTorch
  ☆207Updated 11 months ago
• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆182Updated last year
• mahaitongdae / Feasible-Actor-Critic
  Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.
  ☆20Updated 3 years ago
• gwthomas / Safe-MBPO
  Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"
  ☆46Updated 3 years ago
• rcheng805 / RL-CBF
  ☆155Updated 6 years ago