Baichenjia / UTDSLinks
Pessimistic Value Iteration for Multi-Task Data Sharing in Offline RL
☆17Updated last year
Alternatives and similar repositories for UTDS
Users that are interested in UTDS are comparing it to the libraries listed below
Sorting:
- ☆111Updated 2 years ago
- This is the repo of "RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization"☆107Updated 6 months ago
- [ICLR 2025] Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.☆63Updated 3 weeks ago
- ☆63Updated 9 months ago
- [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning☆36Updated 3 years ago
- Skill-based Model-based Reinforcement Learning (CoRL 2022)☆59Updated 2 years ago
- ☆51Updated last month
- This repository provides a survey on the applications of deep generative models for offline reinforcement learning and imitation learning…☆52Updated 3 months ago
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…☆142Updated 2 years ago
- Official implementation of NeurIPS'23 paper, Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets☆26Updated last year
- Author's PyTorch implementation of TD7 for online and offline RL☆148Updated last year
- rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").☆33Updated last year
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆60Updated 2 years ago
- PPO, DDPG, SAC implementation on mujoco environment☆117Updated 3 years ago
- A benchmark for offline goal-conditioned RL and offline RL☆237Updated 2 months ago
- [NeurIPS 2023] Efficient Diffusion Policy☆108Updated last year
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)☆108Updated last year
- ☆22Updated last year
- ☆36Updated 2 years ago
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆108Updated last year
- [ICML 2024] The offical implementation of A2PR, a simple way to achieve SOTA in offline reinforcement learning with an adaptive advantage…☆32Updated last year
- Listwise Reward Estimation for Offline Preference-based Reinforcement Learning (ICML 2024)☆15Updated last year
- Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization☆22Updated last year
- Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"☆79Updated 2 months ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆74Updated last year
- ☆20Updated 2 weeks ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆89Updated last year
- Code for "TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning"☆25Updated last year
- A PyTorch implementation of Implicit Q-Learning☆85Updated 3 years ago
- ☆13Updated 11 months ago