SafeRL-Lab / Uncertainty-in-RL
The repository is for Reinforcement-Learning Uncertainty research, in which we investigate various uncertain factors in RL.
☆20Updated last year
Alternatives and similar repositories for Uncertainty-in-RL:
Users that are interested in Uncertainty-in-RL are comparing it to the libraries listed below
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆43Updated 5 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆44Updated 2 years ago
- This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algor…☆26Updated last year
- Code for Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations☆18Updated 3 years ago
- ☆14Updated 2 years ago
- ☆14Updated 11 months ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆24Updated last year
- Implementation of SAC and TD3 based on various RNN and Transformer.☆19Updated 6 months ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆60Updated 9 months ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆33Updated last year
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆45Updated 3 months ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆11Updated 5 years ago
- Decision Transformer for offline single-agent autonomous highway driving☆24Updated last year
- Model-Based Uncertainty in Value Functions (AISTATS2023)☆18Updated 2 years ago
- Heterogeneous Multi-agent Version of Highway-env☆15Updated last year
- Resilient Multi-Agent Reinforcement Learning☆10Updated 2 years ago
- DecentralizedLearning☆24Updated 2 years ago
- Robust Multi-Agent Reinforcement Learning with State Uncertainty☆13Updated last year
- Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>☆18Updated 3 years ago
- Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.☆15Updated last year
- [IEEE Transactions on Intelligent Transportation Systems] Curricular Subgoal for Inverse Reinforcement Learning☆13Updated last year
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆65Updated last year
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆36Updated 2 years ago
- Implementations of SAILR, PDO, and CSC☆32Updated 8 months ago
- Code release for the paper "Towards Safe Reinforcement Learning with a Safety Editor Policy", Yu et al., arXiv 2022☆13Updated last year
- ☆21Updated 11 months ago
- Official implementation of the paper: Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate☆20Updated last year
- ☆47Updated 2 months ago
- Public implementation of Heterogeneous Policy Networks (HetNet) from AAMAS'22 -- Paper Title: Learning Efficient Diverse Communication fo…☆16Updated 11 months ago