safe-rl / safe-rl-shieldingLinks
☆44Updated 2 years ago
Alternatives and similar repositories for safe-rl-shielding
Users that are interested in safe-rl-shielding are comparing it to the libraries listed below
Sorting:
- Logically-Constrained Reinforcement Learning☆55Updated last year
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆60Updated 5 years ago
- Code for the paper "AlwaysSafe: Reinforcement Learning Without Safety Constraint Violations During Training"☆17Updated 3 years ago
- Safe exploration in Markov Decision Processes☆37Updated 7 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆73Updated 6 years ago
- Safe reinforcement learning with stability guarantees☆233Updated 3 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆48Updated 6 years ago
- Safe Reinforcement Learning algorithms☆74Updated 3 years ago
- Implementations of SAILR, PDO, and CSC☆31Updated last year
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆70Updated 2 years ago
- An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch☆26Updated 5 years ago
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆26Updated 2 years ago
- Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates☆76Updated 2 years ago
- ☆70Updated last year
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆60Updated 2 years ago
- ☆155Updated 6 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆45Updated 9 months ago
- Implementations of safe reinforcement learning algorithms☆28Updated last year
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆65Updated last year
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆35Updated 2 years ago
- ☆75Updated last year
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆46Updated 3 years ago
- Solving POMDP using Recurrent networks☆91Updated 5 years ago
- Source code for "A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning" (ICML 2021)☆33Updated 2 years ago
- Learning algorithm implementation and experiments in the paper "A Composable Specification Language for Reinforcement Learning Tasks" (ht…☆17Updated 4 years ago
- Gym-like extensions for POMDP☆57Updated 4 years ago
- [ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control☆121Updated 4 years ago
- A curated list of awesome Model-based reinforcement learning resources☆93Updated 5 years ago
- The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.☆49Updated 7 years ago