jqueeney / robust-safe-rl
Robust and safe deep reinforcement learning algorithms
☆12Updated 11 months ago
Alternatives and similar repositories for robust-safe-rl:
Users that are interested in robust-safe-rl are comparing it to the libraries listed below
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆33Updated 10 months ago
- Implementations of safe reinforcement learning algorithms☆26Updated last year
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆35Updated 2 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆45Updated 3 months ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆56Updated 9 months ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆53Updated last year
- Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]☆23Updated 4 months ago
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆23Updated last year
- ☆71Updated last year
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆70Updated last year
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆43Updated 2 years ago
- Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics.☆20Updated last year
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆64Updated last year
- Official Github Repository for "Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints". (NeurIPS 2023)☆17Updated 4 months ago
- [IEEE Transactions on Intelligent Transportation Systems] Curricular Subgoal for Inverse Reinforcement Learning☆13Updated last year
- Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.☆20Updated 2 years ago
- Code accompanying the paper "Off-Policy Primal-Dual Safe Reinforcement Learning"☆15Updated 11 months ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆42Updated 5 years ago
- Official implementation of the paper: Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate☆20Updated last year
- Code for Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations☆18Updated 3 years ago
- [NeurIPS 2022] Code for Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments☆12Updated 2 years ago
- ☆37Updated 2 years ago
- Deep Learning (FS 2020)☆16Updated 2 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆88Updated 6 months ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆69Updated 5 years ago
- ☆41Updated this week
- Implementations of SAILR, PDO, and CSC☆32Updated 7 months ago
- Repository containing the code for the paper "Safe Model-Based Reinforcement Learning using Robust Control Barrier Functions". Specifical…☆43Updated 2 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆64Updated last year