gwthomas / Safe-MBPOLinks
Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"
☆49Updated 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:
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆69Updated 2 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆67Updated 2 years ago
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆37Updated 3 years ago
- ☆78Updated 2 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆106Updated 3 weeks ago
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆59Updated 2 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
- Code for Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations☆18Updated 3 years ago
- ☆17Updated 2 years ago
- Implementations of safe reinforcement learning algorithms☆29Updated last year
- Implementations of SAILR, PDO, and CSC☆31Updated last year
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆27Updated 2 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆70Updated last year
- ☆58Updated 2 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Updated 11 months ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆44Updated last year
- This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algor…☆30Updated 2 years ago
- [IEEE Transactions on Intelligent Transportation Systems] Curricular Subgoal for Inverse Reinforcement Learning☆17Updated 2 years ago
- Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting☆35Updated 4 years ago
- Implementing the two pioneering IRL papers "Algorithms for Inverse Reinforcement Learning" - (Ng &Russell 2000) and "Maximum Entropy Inve…☆31Updated 2 years ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated 2 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆38Updated 2 years ago
- ☆40Updated 4 years ago
- [NeurIPS'22 Spotlight] When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning☆58Updated 2 years ago
- Official implementation of the paper: Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate☆25Updated 2 years ago
- Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.☆20Updated 3 years ago
- Code release for the paper "Towards Safe Reinforcement Learning with a Safety Editor Policy", Yu et al., arXiv 2022☆16Updated 8 months ago
- [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"☆116Updated 9 months ago
- Pytorch implementation of InfoGAIL and WGAIL☆19Updated 3 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆41Updated 3 years ago