Alternatives and similar repositories for seditor

Users that are interested in seditor are comparing it to the libraries listed below

• mahaitongdae / Reachability_Constrained_RL
  Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.
  ☆36Updated 2 years ago
• gwthomas / Safe-MBPO
  Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"
  ☆45Updated 3 years ago
• roosephu / crabs
  Code for Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations
  ☆18Updated 3 years ago
• Plankson / CSIRL
  [IEEE Transactions on Intelligent Transportation Systems] Curricular Subgoal for Inverse Reinforcement Learning
  ☆15Updated last year
• decisionforce / EGPO
  [CoRL 2021] Official implementation of paper "Safe Driving via Expert Guided Policy Optimization".
  ☆46Updated last year
• ZhengYinan-AIR / FISOR
  [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"
  ☆101Updated 3 months ago
• liuzuxin / safe-rl-robustness
  Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)
  ☆46Updated 5 months ago
• mahaitongdae / Feasible-Actor-Critic
  Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.
  ☆20Updated 3 years ago
• jjyyxx / srlnbc
  Model-Free Safe Reinforcement Learning through Neural Barrier Certificate
  ☆39Updated last year
• SafeRL-Lab / Uncertainty-in-RL
  The repository is for Reinforcement-Learning Uncertainty research, in which we investigate various uncertain factors in RL.
  ☆21Updated last year
• zlr20 / saferl_kit
  ☆74Updated last year
• umd-huang-lab / WocaR-RL
  Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning
  ☆26Updated last year
• SvenGronauer / RL-Safety-Algorithms
  Implementations of safe reinforcement learning algorithms
  ☆27Updated last year
• akjayant / mbppol
  This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algor…
  ☆26Updated last year
• weiaiF / offlineRL-INTERACTION
  ☆14Updated 2 years ago
• ZhengYinan-AIR / OMIGA
  [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…
  ☆36Updated last year
• ManUtdMoon / Distributional-Reachability-Policy-Optimization
  Official implementation of the paper: Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate
  ☆22Updated last year
• mahaitongdae / Safety_Index_Synthesis
  Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.
  ☆15Updated last year
• nolanwagener / safe_rl
  Implementations of SAILR, PDO, and CSC
  ☆32Updated 10 months ago
• chauncygu / Safe-Multi-Agent-Mujoco
  Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.
  ☆62Updated 11 months ago
• idthanm / mpg
  MPG is originated from the paper "Mixed policy gradient", which also contains a cluster of high-quality implementations of deep reinforce…
  ☆21Updated 3 years ago
• Guiliang / ICRL-benchmarks-public
  ☆14Updated last year
• google-deepmind / constrained_optidice
  ☆10Updated 2 years ago
• liuzuxin / DSRL
  🔥 Datasets and env wrappers for offline safe reinforcement learning
  ☆95Updated 8 months ago
• zaiyan-x / RFQI
  Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]
  ☆24Updated 6 months ago
• AgrawalAmey / safe-explorer
  Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]
  ☆72Updated 6 years ago
• jqueeney / robust-safe-rl
  Robust and safe deep reinforcement learning algorithms
  ☆14Updated last year
• matthias-weissenbacher / KFC
  Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics.
  ☆21Updated last year
• abalakrishna123 / recovery-rl
  Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.
  ☆58Updated last year
• intelligent-control-lab / guard
  ☆50Updated 4 months ago