MIRALab-USTC / RL-CMBACLinks
The code of paper Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic. Zhihai Wang, Jie Wang*, Qi Zhou, Bin Li, Houqiang Li. AAAI 2022.
☆20Updated 3 years ago
Alternatives and similar repositories for RL-CMBAC
Users that are interested in RL-CMBAC are comparing it to the libraries listed below
Sorting:
- The code of paper *Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization*.☆19Updated 3 years ago
- Code for FOCAL Paper Published at ICLR 2021☆52Updated last year
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023☆31Updated 6 months ago
- ☆46Updated 2 years ago
- CORRO code☆35Updated 2 years ago
- [ICLR 2024 Spotlight] Code for the paper "Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making"☆12Updated last year
- Must-read papers on Reinforcement Learning (RL)☆50Updated 4 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆87Updated last year
- Official implementation of "Learning from Visual Observation via Offline Pretrained State-to-Go Transformer"☆19Updated last year
- Official Implementation for Quality-Similar Diversity via Population Based Reinforcement Learning☆17Updated 2 years ago
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆58Updated 2 years ago
- Anti exploration in offline reinforcement learning☆9Updated 4 years ago
- ☆29Updated 3 years ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆56Updated 2 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 4 years ago
- ☆10Updated last year
- ☆26Updated 3 years ago
- Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"☆19Updated 2 years ago
- ☆10Updated 4 years ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆36Updated last year
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆18Updated 6 months ago
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆56Updated last year
- ☆15Updated last year
- Code for Adapting Environment Sudden Changes by Learning Context Sensitive Policy☆20Updated 3 years ago
- Code for "Offline Meta-Reinforcement Learning with Advantage Weighting" [ICML 2021]☆47Updated 2 years ago
- TensorFlow implementation for our paper "Learning Long-Term Reward Redistribution via Randomized Return Decomposition"☆19Updated 3 years ago
- ☆10Updated last year
- ☆33Updated 2 years ago
- Meta RL codebase for Unstable Baselines☆21Updated 2 years ago