LAMDA-RL / OfflineRL-LibLinks
Benchmarked implementations of Offline RL Algorithms.
☆73Updated 3 months ago
Alternatives and similar repositories for OfflineRL-Lib
Users that are interested in OfflineRL-Lib are comparing it to the libraries listed below
Sorting:
- Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization☆18Updated last year
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning☆95Updated 10 months ago
- ☆47Updated 6 months ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆95Updated 8 months ago
- Conservative Q learning in Jax☆54Updated 2 years ago
- Extreme Q-Learning: Max Entropy RL without Entropy☆88Updated 2 years ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆74Updated last year
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆84Updated 6 months ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆62Updated last year
- Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …☆70Updated 2 years ago
- Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]☆53Updated 3 years ago
- The Official Code for Offline Model-based Adaptable Policy Learning (NeurIPS'21 & TPAMI)☆25Updated last year
- [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 last year
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆28Updated 3 years ago
- ☆24Updated 2 years ago
- ☆23Updated last year
- Source files to replicate experiments in my ICLR 2022 paper.☆71Updated 11 months ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆76Updated 2 years ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆26Updated 2 months ago
- ☆42Updated 3 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆87Updated last year
- ☆56Updated 2 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆144Updated last year
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆67Updated 2 years ago
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆101Updated last year
- ExORL: Exploratory Data for Offline Reinforcement Learning☆115Updated 3 years ago
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆56Updated last year
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022☆27Updated 2 years ago
- Implementation of Multi-Game Decision Transformers in PyTorch☆47Updated 2 years ago
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023☆31Updated 5 months ago