Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"
☆51Apr 8, 2022Updated 3 years ago
Alternatives and similar repositories for Safe-MBPO
Users that are interested in Safe-MBPO are comparing it to the libraries listed below
Sorting:
- Code for Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations☆18Mar 4, 2022Updated 3 years ago
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆59Jul 31, 2023Updated 2 years ago
- ☆14Aug 7, 2025Updated 6 months ago
- Official implementation of the paper: Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate☆25Dec 4, 2023Updated 2 years ago
- ☆77Oct 19, 2023Updated 2 years ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆45May 6, 2024Updated last year
- MPG is originated from the paper "Mixed policy gradient", which also contains a cluster of high-quality implementations of deep reinforce…☆22Apr 20, 2022Updated 3 years ago
- [TPAMI, 2023] Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving☆55Dec 25, 2024Updated last year
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆70Jul 7, 2023Updated 2 years ago
- Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.☆15Jul 31, 2023Updated 2 years ago
- [ICLR 2023] The official code for paper "Guarded Policy Optimization with Imperfect Online Demonstrations"☆14Apr 30, 2023Updated 2 years ago
- Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.☆20May 22, 2022Updated 3 years ago
- ☆31Oct 16, 2021Updated 4 years ago
- ☆13Mar 14, 2024Updated last year
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆41Aug 27, 2022Updated 3 years ago
- Safe Reinforcement Learning with Natural Language Constraints☆15Oct 24, 2021Updated 4 years ago
- [CoRL 2021] Official implementation of paper "Safe Driving via Expert Guided Policy Optimization".☆52Apr 8, 2024Updated last year
- Code for paper: Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory co…☆23Mar 1, 2025Updated last year
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Mar 24, 2023Updated 2 years ago
- Code for the paper "AlwaysSafe: Reinforcement Learning Without Safety Constraint Violations During Training"☆17May 9, 2022Updated 3 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆122Nov 12, 2025Updated 3 months ago
- The repository is for safe reinforcement learning baselines.☆765Jan 22, 2026Updated last month
- ☆15Oct 20, 2020Updated 5 years ago
- ☆15Updated this week
- ☆23Apr 14, 2024Updated last year
- The repository is for Reinforcement-Learning Uncertainty research, in which we investigate various uncertain factors in RL.☆23Jun 16, 2023Updated 2 years ago
- Safe reinforcement learning with stability guarantees☆237Feb 8, 2022Updated 4 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆456Apr 2, 2023Updated 2 years ago
- A library for reinforcement learning research☆57Feb 4, 2025Updated last year
- A Multiplicative Value Function for Safe and Efficient Reinforcement Learning. IROS 2023.☆25Sep 24, 2023Updated 2 years ago
- This is the source code of FUSION, a safety-aware causal representation for generalizable driving agents.☆26Oct 23, 2024Updated last year
- ☆159May 3, 2019Updated 6 years ago
- Codebase of paper "Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms" publ…☆12Jul 13, 2023Updated 2 years ago
- ☆12Nov 18, 2023Updated 2 years ago
- Code for Policy Bifurcation in Safe Reinforcement Learning☆10Jul 4, 2025Updated 7 months ago
- Code for paper "Model-free Safe Control for Zero-Violation Reinforcement Learning" at Conference on Robot Learning (CoRL) 2021.☆10Nov 1, 2021Updated 4 years ago
- [NeurIPS 2023] Neural Lyapunov Control for Discrete-Time Systems☆15Jul 29, 2024Updated last year
- ☆10Aug 13, 2022Updated 3 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Dec 10, 2024Updated last year