mahaozhe / ReLaraLinks
[ICML 2024] The algorithm of Reinforcement Learning with an Assistant Reward Agent (ReLara)
β13Updated last year
Alternatives and similar repositories for ReLara
Users that are interested in ReLara are comparing it to the libraries listed below
Sorting:
- π₯ Datasets and env wrappers for offline safe reinforcement learningβ105Updated last year
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)β60Updated 2 years ago
- Code space for L4DC paper "State-wise Safe Reinforcement Learning With Pixel Observations"β12Updated last year
- Robust and safe deep reinforcement learning algorithmsβ15Updated last year
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).β89Updated last year
- Author's PyTorch implementation of TD7 for online and offline RLβ149Updated 2 years ago
- [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"β109Updated 8 months ago
- π€ Elegant implementations of offline safe RL algorithms in PyTorchβ213Updated last year
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizatβ¦β38Updated last year
- β114Updated 2 years ago
- ICML'2024: Q-value Regularized Transformer for Offline Reinforcement Learningβ34Updated 9 months ago
- Code accompanying the paper "Off-Policy Primal-Dual Safe Reinforcement Learning"β20Updated last year
- β60Updated 3 months ago
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPSβ¦β74Updated 2 years ago
- β76Updated last year
- β57Updated 2 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.β66Updated last year
- π A fast safe reinforcement learning library in PyTorchβ216Updated last year
- Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"β81Updated 3 months ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"β46Updated 3 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.β38Updated 7 months ago
- This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorβ¦β28Updated 2 years ago
- [NeurIPS 2023] Implementation of Elastic Decision Transformerβ35Updated last year
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.β68Updated 2 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)β80Updated 2 years ago
- Official code of the paper "Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts" at ICLR2024β31Updated 10 months ago
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)β59Updated last year
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".β44Updated 11 months ago
- Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]β23Updated 11 months ago
- A collection of recent MARL papersβ96Updated 10 months ago