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:
- [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning☆35Updated 2 years ago
- Code for FOCAL Paper Published at ICLR 2021☆51Updated last year
- ☆50Updated 3 years ago
- ☆10Updated 4 years ago
- re-implementation of the offline model-based RL algorithm MOPO in pytorch☆25Updated 3 years ago
- ☆29Updated 3 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆87Updated last year
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆136Updated last year
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆58Updated last year
- discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!☆56Updated 2 years ago
- This repository is an implementation of "MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer"…☆21Updated 2 years ago
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆57Updated 2 years ago
- ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (te…☆174Updated 2 years ago
- Anti exploration in offline reinforcement learning☆9Updated 4 years ago
- RLA is a tool for managing your RL experiments automatically☆71Updated 2 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆85Updated 2 years ago
- Implemention of the Decision-Pretrained Transformer (DPT) from the paper Supervised Pretraining Can Learn In-Context Reinforcement Learni…☆69Updated last year
- A collection of research and survey papers of hierarchical reinforcement learning (HRL).☆50Updated 5 years ago
- A collection of offline reinforcement learning algorithms.☆194Updated 8 months ago
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆77Updated 7 months ago
- ☆112Updated 2 years ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆75Updated 2 years ago
- Must-read papers on Reinforcement Learning (RL)☆51Updated 4 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 4 years ago
- Conservative Q Learning on top of SAC☆132Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆175Updated 3 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆59Updated 2 years ago
- Model-based Offline Policy Optimization re-implement all by pytorch☆36Updated last year
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023☆32Updated 8 months ago