MIRALab-USTC / RL-SCPOLinks
The code of paper *Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization*.
☆18Updated 3 years ago
Alternatives and similar repositories for RL-SCPO
Users that are interested in RL-SCPO are comparing it to the libraries listed below
Sorting:
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆58Updated 5 years ago
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆28Updated 2 years ago
- Paper list for constrained policy optimization in reinforcement learning.☆73Updated 2 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Updated last year
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆81Updated 2 years ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆74Updated 6 years ago
- LLM-Empowered State Representation for Reinforcement Learning (ICML2024 Accepted paper)☆37Updated last year
- A plotter for reinforcement learning (RL) using Weights & Biases☆15Updated 2 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆65Updated 2 years ago
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆28Updated 2 years ago
- Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.☆20Updated 3 years ago
- ☆17Updated 2 years ago
- Transformer-based Multi-Agent Actor-Critic Framework☆45Updated 3 years ago
- ☆77Updated 2 years ago
- ☆52Updated 3 years ago
- The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"☆56Updated 2 years ago
- Implementations of safe reinforcement learning algorithms☆29Updated last year
- Code accompanying the paper "Off-Policy Primal-Dual Safe Reinforcement Learning"☆21Updated last year
- Implementation of PPO Lagrangian in PyTorch☆55Updated 3 years ago
- Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.☆15Updated 2 years ago
- Transformer in RL for decision-making☆104Updated 2 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆94Updated 2 years ago
- Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning☆10Updated 4 years ago
- [IEEE Transactions on Intelligent Transportation Systems] Curricular Subgoal for Inverse Reinforcement Learning☆16Updated 2 years ago
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆39Updated 2 years ago
- ☆40Updated 3 years ago
- Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics.☆22Updated 2 years ago
- [AAAI 2023 Oral] Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition☆38Updated last year
- Official Repository for "Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing" (ICML2021)☆24Updated 4 years ago
- Public implementation of "Multi-Agent Graph-Attention Communication and Teaming" from AAMAS'21☆90Updated last year