sihongho / Robust_MARL_with_State_UncertaintyLinks
Robust Multi-Agent Reinforcement Learning with State Uncertainty
☆13Updated 2 years ago
Alternatives and similar repositories for Robust_MARL_with_State_Uncertainty
Users that are interested in Robust_MARL_with_State_Uncertainty are comparing it to the libraries listed below
Sorting:
- Public implementation of Heterogeneous Policy Networks (HetNet) from AAMAS'22 -- Paper Title: Learning Efficient Diverse Communication fo…☆18Updated last year
- The repository is for Reinforcement-Learning Uncertainty research, in which we investigate various uncertain factors in RL.☆21Updated last year
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆44Updated 6 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
- Implementations of SAILR, PDO, and CSC☆32Updated 10 months ago
- [IEEE Transactions on Intelligent Transportation Systems] Curricular Subgoal for Inverse Reinforcement Learning☆15Updated last year
- Robust Reinforcement Learning Benchmark☆10Updated 8 months ago
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆41Updated 3 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Updated 5 months ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆45Updated 3 years ago
- Code accompanying the paper "Off-Policy Primal-Dual Safe Reinforcement Learning"☆17Updated last year
- Resilient Multi-Agent Reinforcement Learning☆10Updated 2 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.☆15Updated last year
- Official Repository for "Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing" (ICML2021)☆21Updated 3 years ago
- A novel Hierarchical Imitation Learning algorithm based on AIRL.☆22Updated 2 years ago
- TransMix: Transformer-based Value Function Decomposition for Cooperative Multi-agent Reinforcement Learning☆10Updated 2 years ago
- Codes for the paper "Multi-task Hierarchical Adversarial Inverse Reinforcement Learning"☆18Updated 2 years ago
- Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.☆20Updated 3 years ago
- Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>☆18Updated 3 years ago
- curriculum☆24Updated 2 years ago
- Literature and code for inverse reinforcement leanring research☆30Updated 5 years ago
- Official code for "A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning"☆15Updated 2 years ago
- [RA-L & ICRA 2021] Adversarial Inverse Reinforcement Learning with Self-attention Dynamics Model☆32Updated 2 years ago
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆26Updated last year
- Deep Implicit Coordination Graphs☆41Updated last year
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆36Updated 3 months ago
- Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics.☆21Updated last year
- DecentralizedLearning☆24Updated 2 years ago
- PyTorch Implementation of COPA for coordinating teams that can dynamically change.☆21Updated 3 years ago