SafeRL-Lab / Uncertainty-in-RLLinks
The repository is for Reinforcement-Learning Uncertainty research, in which we investigate various uncertain factors in RL.
☆21Updated 2 years ago
Alternatives and similar repositories for Uncertainty-in-RL
Users that are interested in Uncertainty-in-RL are comparing it to the libraries listed below
Sorting:
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆46Updated 3 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆64Updated last year
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Updated 7 months ago
- This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algor…☆28Updated 2 years ago
- Official implementation of the paper: Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate☆22Updated last year
- Code for Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations☆18Updated 3 years ago
- This repository contains the code for Diversity Control (DiCo), a novel method to constrain behavioral diversity in multi-agent reinforce…☆25Updated 7 months ago
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆59Updated 2 years ago
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆36Updated 3 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- [IEEE Transactions on Intelligent Transportation Systems] Curricular Subgoal for Inverse Reinforcement Learning☆15Updated 2 years ago
- ☆28Updated 3 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆98Updated 10 months ago
- Robust Multi-Agent Reinforcement Learning with State Uncertainty☆13Updated 2 years ago
- Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.☆20Updated 3 years ago
- Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates☆75Updated 2 years ago
- Robust Reinforcement Learning Benchmark☆10Updated 10 months ago
- ☆24Updated last year
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆46Updated 6 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆70Updated 2 years ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆40Updated last year
- ☆75Updated last year
- ☆18Updated 3 months ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆40Updated 2 years ago
- Risk-sensitive Inverse Reinforcement Learning☆10Updated 5 years ago
- RL Algorithms for Visual Continuous Control☆32Updated 2 years ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆37Updated last year
- Bayesian active RL (BARL) and trajectory information planning (TIP)☆25Updated 2 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆37Updated 5 months ago
- Safe Multi-Agent Robosuite benchmark for safe multi-agent reinforcement learning research.☆23Updated last year