jqueeney / robust-safe-rlLinks
Robust and safe deep reinforcement learning algorithms
☆15Updated last year
Alternatives and similar repositories for robust-safe-rl
Users that are interested in robust-safe-rl are comparing it to the libraries listed below
Sorting:
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆64Updated last year
- Official Github Repository for "Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints". (NeurIPS 2023)☆19Updated 8 months ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆40Updated last year
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆79Updated 2 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆56Updated last year
- ☆75Updated last year
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆36Updated 2 years ago
- 🚀 A fast safe reinforcement learning library in PyTorch☆202Updated 9 months ago
- ☆39Updated 3 years ago
- ☆51Updated last week
- Code space for L4DC paper "State-wise Safe Reinforcement Learning With Pixel Observations"☆12Updated last year
- Implementations of safe reinforcement learning algorithms☆28Updated last year
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Updated 7 months ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆70Updated 2 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆57Updated 2 years ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆72Updated 6 years ago
- Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]☆24Updated 8 months ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆111Updated 4 years ago
- Model-based Offline Policy Optimization re-implement all by pytorch☆34Updated last year
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆95Updated 10 months ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆86Updated last year
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆26Updated last year
- Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics.☆21Updated last year
- DSAC; Distributional Soft Actor-Critic☆129Updated 5 months ago
- Transformer in RL for decision-making☆96Updated 2 years ago
- ☆154Updated 6 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆45Updated 3 years ago
- [NeurIPS 2022] Code for Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments☆12Updated 2 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆180Updated last year
- [IEEE Transactions on Intelligent Transportation Systems] Curricular Subgoal for Inverse Reinforcement Learning☆15Updated last year