Guiliang / ICRL-benchmarks-public
☆10Updated 10 months ago
Related projects: ⓘ
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆61Updated last year
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆39Updated 2 years ago
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆31Updated 2 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆45Updated 3 months ago
- Implementations of safe reinforcement learning algorithms☆19Updated 6 months ago
- Official implementation of the paper: Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate☆15Updated 9 months ago
- ☆56Updated 11 months ago
- MPG is originated from the paper "Mixed policy gradient", which also contains a cluster of high-quality implementations of deep reinforce…☆18Updated 2 years ago
- Implementing the two pioneering IRL papers "Algorithms for Inverse Reinforcement Learning" - (Ng &Russell 2000) and "Maximum Entropy Inve…☆27Updated last year
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆47Updated last year
- Implementations of SAILR, PDO, and CSC☆29Updated 2 months ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆28Updated 4 months ago
- ☆39Updated 3 weeks ago
- This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algor…☆24Updated last year
- RL Algorithms for Visual Continuous Control☆30Updated last year
- ☆15Updated 10 months ago
- This is the official implementation of NeurIPS 2022 paper "Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal R…☆30Updated last year
- behavior cloning from observation☆34Updated 3 years ago
- [ICLR 2023] The official code for paper "Guarded Policy Optimization with Imperfect Online Demonstrations"☆12Updated last year
- [CoRL 2021] Official implementation of paper "Safe Driving via Expert Guided Policy Optimization".☆39Updated 5 months ago
- Scalable Multi-Agent Reinforcement Learning☆9Updated 2 years ago
- Code release for the paper "Towards Safe Reinforcement Learning with a Safety Editor Policy", Yu et al., arXiv 2022☆13Updated 8 months ago
- Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"☆33Updated last month
- [RA-L & ICRA 2021] Adversarial Inverse Reinforcement Learning with Self-attention Dynamics Model☆29Updated 2 years ago
- OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation☆13Updated last year
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆63Updated last year
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆39Updated last year
- ☆21Updated 5 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆65Updated last week
- ☆28Updated 3 years ago