zzmtsvv / ORLLinks
☆57Updated 4 months ago
Alternatives and similar repositories for ORL
Users that are interested in ORL are comparing it to the libraries listed below
Sorting:
- Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)☆73Updated 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 last year
- ☆56Updated 2 years ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆85Updated 6 months ago
- Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL☆22Updated 7 months ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆51Updated 2 years ago
- ☆48Updated 7 months ago
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023☆32Updated 6 months ago
- Official codebase for GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning.☆22Updated 7 months ago
- Synthetic Experience Replay☆92Updated last year
- Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization☆19Updated last year
- ☆19Updated 2 years ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆75Updated last year
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆67Updated 2 years ago
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning☆99Updated 10 months ago
- ☆42Updated 2 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆57Updated 2 years ago
- Benchmarked implementations of Offline RL Algorithms.☆73Updated 3 months ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆114Updated 3 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆70Updated 11 months ago
- Meta-RL Model-Based Algorithm☆36Updated last month
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆103Updated last year
- [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.☆23Updated last year
- Implementation of Multi-Game Decision Transformers in PyTorch☆47Updated 2 years ago
- ☆34Updated 2 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆34Updated 2 years ago
- Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC☆55Updated last year
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022☆27Updated 2 years ago
- ☆48Updated last year
- ☆36Updated 2 years ago