Guiliang / ICRL-benchmarks-publicLinks
☆17Updated 2 years ago
Alternatives and similar repositories for ICRL-benchmarks-public
Users that are interested in ICRL-benchmarks-public are comparing it to the libraries listed below
Sorting:
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆38Updated 3 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆51Updated 3 years ago
- ☆77Updated 2 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆71Updated 2 years ago
- Implementations of safe reinforcement learning algorithms☆29Updated last year
- Official implementation of the paper: Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate☆25Updated 2 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆118Updated 2 months ago
- [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"☆118Updated 11 months ago
- This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algor…☆32Updated 2 years ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆45Updated last year
- ☆17Updated 3 years ago
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆59Updated 2 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆70Updated last year
- [CoRL 2021] Official implementation of paper "Safe Driving via Expert Guided Policy Optimization".☆51Updated last year
- ☆58Updated last year
- Implementing the two pioneering IRL papers "Algorithms for Inverse Reinforcement Learning" - (Ng &Russell 2000) and "Maximum Entropy Inve…☆32Updated 2 years ago
- [TPAMI, 2023] Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving☆53Updated last year
- ⚡️ Shockingly fast imitation learning algorithms via combining online and offline data engines. ⚡️☆12Updated 4 months ago
- ICLR 2024: SafeDreamer: Safe Reinforcement Learning with World Models☆92Updated last year
- [IEEE Transactions on Intelligent Transportation Systems] Curricular Subgoal for Inverse Reinforcement Learning☆16Updated 2 years ago
- Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"☆101Updated 6 months ago
- ☆14Updated last year
- Code release for the paper "Towards Safe Reinforcement Learning with a Safety Editor Policy", Yu et al., arXiv 2022☆16Updated 9 months ago
- [RA-L & ICRA 2021] Adversarial Inverse Reinforcement Learning with Self-attention Dynamics Model☆31Updated 3 years ago
- ☆22Updated last year
- ☆23Updated 6 years ago
- Implementations of SAILR, PDO, and CSC☆31Updated last year
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Updated last year
- Implementation of PPO Lagrangian in PyTorch☆54Updated 3 years ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆39Updated last year