Alternatives and similar repositories for RL-CBF

Users that are interested in RL-CBF are comparing it to the libraries listed below

• jjyyxx / srlnbc
  Model-Free Safe Reinforcement Learning through Neural Barrier Certificate
  ☆45Updated last year
• MIT-REALM / macbf
  Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates
  ☆76Updated 2 years ago
• tayalmanan28 / Safe_Reinforcement_Learning
  Repository containing the code for safe reinforcement learning in two custom environments
  ☆45Updated 8 months ago
• AgrawalAmey / safe-explorer
  Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]
  ☆74Updated 6 years ago
• liuzuxin / MPC_template-model_predictive_control_for_reinforcement_learning
  Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment
  ☆90Updated 5 years ago
• mahaitongdae / Reachability_Constrained_RL
  Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.
  ☆37Updated 3 years ago
• LiqunZhao / A-Barrier-Lyapunov-Actor-Critic-Reinforcement-Learning-Approach-for-Safe-and-Stable-Control
  ☆38Updated last year
• MIT-REALM / neural_clbf
  Toolkit for learning controllers based on robust control Lyapunov barrier functions
  ☆176Updated last year
• yemam3 / SAC-RCBF
  ☆21Updated 3 years ago
• zlr20 / saferl_kit
  ☆78Updated 2 years ago
• AliBaheri / Safe-Reinforcement-Learning
  The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.
  ☆51Updated 7 years ago
• yemam3 / Mod-RL-RCBF
  ☆41Updated 3 years ago
• AlgTUDelft / WCSAC
  Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"
  ☆62Updated 2 years ago
• wenchiyang / pls
  ☆14Updated last year
• intelligent-control-lab / Implicit_Safe_Set_Algorithm
  ☆13Updated 4 months ago
• FilippoAiraldi / learning-safety-in-mpc-based-rl
  Safety-aware MPC-based RL framework
  ☆69Updated last year
• akifumi-wachi-4 / safe_near_optimal_mdp
  Safe Reinforcement Learning in Constrained Markov Decision Processes
  ☆61Updated 5 years ago
• Jingliang-Duan / DSAC-v1
  DSAC; Distributional Soft Actor-Critic
  ☆134Updated 10 months ago
• mahaitongdae / safe_exp_env
  Thrid-party safety-gym safe exploration environments for autonomous driving. Also environment used for IROS 2021 paper: Model-based Const…
  ☆37Updated 4 years ago
• huyaoyu / GridMap
  ☆23Updated 6 years ago
• JakobaRmn / Constraint_RL_MPC
  Safe control of unknown dynamic systems with reinforcement learning and model predictive control
  ☆53Updated 6 years ago
• chauncygu / Safe-Multi-Agent-Mujoco
  Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.
  ☆70Updated last year
• luigiberducci / learning_adaptive_safety
  Repository of the work "Learning Adaptive Safety for Multi-agent Systems"
  ☆16Updated last year
• ZhongZ-Wang / Model-Based-RL
  这是一个关于基于模型的强化学习的资料，包括一些代码地址、paper、slide等。
  ☆45Updated 5 years ago
• smlbansal / deepreach
  ☆81Updated 7 months ago
• befelix / safe-exploration
  Safe Exploration with MPC and Gaussian process models
  ☆89Updated 5 years ago
• liuzuxin / safe-rl-robustness
  Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)
  ☆46Updated last year
• Plankson / CSIRL
  [IEEE Transactions on Intelligent Transportation Systems] Curricular Subgoal for Inverse Reinforcement Learning
  ☆17Updated 2 years ago
• abalakrishna123 / recovery-rl
  Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.
  ☆59Updated 2 years ago
• jqueeney / robust-safe-rl
  Robust and safe deep reinforcement learning algorithms
  ☆16Updated last year