jiangsy / mbpo_pytorchLinks
☆29Updated 3 years ago
Alternatives and similar repositories for mbpo_pytorch
Users that are interested in mbpo_pytorch are comparing it to the libraries listed below
Sorting:
- RLA is a tool for managing your RL experiments automatically☆71Updated 2 years ago
- ☆15Updated 4 years ago
- Code for FOCAL Paper Published at ICLR 2021☆51Updated last year
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆175Updated 3 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆182Updated 3 years ago
- ☆42Updated 3 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆75Updated 2 years ago
- ☆199Updated 2 years ago
- ☆132Updated last year
- Submission for MAVEN: Multi-Agent Variational Exploration☆58Updated 3 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 2 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆171Updated 8 months ago
- ☆54Updated last year
- ☆92Updated last year
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆27Updated 3 years ago
- Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets☆124Updated 8 months ago
- Learning Individual Intrinsic Reward in MARL☆63Updated 2 years ago
- Re-implementations of SOTA RL algorithms.☆134Updated last year
- 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
- Paper Collection for Batch RL with brief introductions.☆84Updated 3 years ago
- ☆17Updated 3 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Updated 5 years ago
- Model-Based Offline Reinforcement Learning☆51Updated 4 years ago
- discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!☆56Updated 2 years ago
- ☆10Updated 4 years ago
- A collection of offline reinforcement learning algorithms.☆191Updated 8 months ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆26Updated last week
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆34Updated 2 years ago
- Personal Repo to keep track of RL papers☆31Updated 4 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆149Updated 3 years ago