yihaosun1124 / pytorch-mopoLinks
re-implementation of the offline model-based RL algorithm MOPO in pytorch
☆25Updated 3 years ago
Alternatives and similar repositories for pytorch-mopo
Users that are interested in pytorch-mopo are comparing it to the libraries listed below
Sorting:
- [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning☆37Updated 3 years ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆133Updated 4 years ago
- Official code repository for Prompt-DT.☆118Updated 3 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆80Updated 3 years ago
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022☆31Updated 2 years ago
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆60Updated last year
- Implemention of the Decision-Pretrained Transformer (DPT) from the paper Supervised Pretraining Can Learn In-Context Reinforcement Learni…☆80Updated last year
- ☆115Updated 2 years ago
- ☆19Updated 2 years ago
- Code for FOCAL Paper Published at ICLR 2021☆52Updated 2 years ago
- This is a repository for Hidden-utility Self-Play.☆26Updated 2 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆154Updated 2 years ago
- ☆10Updated 5 years ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆35Updated 2 years ago
- ☆12Updated last year
- ☆42Updated 2 years ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆29Updated 3 years ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆26Updated 4 months ago
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆57Updated 2 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆61Updated 2 years ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆39Updated last year
- A collection of offline reinforcement learning algorithms.☆207Updated last year
- ☆12Updated last year
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆93Updated last year
- [ICML 2025 oral] Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning☆39Updated 6 months ago
- ☆25Updated last year
- A PyTorch implementation of Implicit Q-Learning☆92Updated 4 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆182Updated 3 years ago
- Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization☆22Updated last year