microsoft / lightATACLinks
A lightweight reimplementation of Adversarially Trained Actor Critic
☆18Updated 2 years ago
Alternatives and similar repositories for lightATAC
Users that are interested in lightATAC are comparing it to the libraries listed below
Sorting:
- Conservative Q Learning on top of SAC☆132Updated 3 years ago
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆28Updated 3 years ago
- Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …☆71Updated 2 years ago
- Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization☆22Updated last year
- Benchmarked implementations of Offline RL Algorithms.☆75Updated 8 months ago
- ☆17Updated 10 months ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆79Updated 3 years ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- [ICLR 2023 Oral] The official implementation of SQL and EQL in "Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Reg…☆44Updated 2 years ago
- Conservative Q learning in Jax☆55Updated 2 years ago
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022☆30Updated 2 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆151Updated 2 years ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆35Updated 2 years ago
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆18Updated last year
- Representation Learning for RL☆128Updated 2 years ago
- ☆19Updated 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
- A PyTorch implementation of Implicit Q-Learning☆91Updated 4 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆188Updated 3 years ago
- ☆57Updated 2 years ago
- ☆42Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆179Updated 3 years ago
- Implemention of the Decision-Pretrained Transformer (DPT) from the paper Supervised Pretraining Can Learn In-Context Reinforcement Learni…☆76Updated last year
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆39Updated last year
- ☆19Updated 2 years ago
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)☆112Updated last year
- Anti exploration in offline reinforcement learning☆10Updated 4 years ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆131Updated 4 years ago
- Model-based Offline Policy Optimization re-implement all by pytorch☆36Updated 2 years ago
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆111Updated last year