hammer-wang / Awesome-Transformers-for-Sequential-Decision-MakingView external linksLinks
Tracking literature and additional online resources on transformers for sequential decision making including RL and beyond.
☆49Dec 21, 2022Updated 3 years ago
Alternatives and similar repositories for Awesome-Transformers-for-Sequential-Decision-Making
Users that are interested in Awesome-Transformers-for-Sequential-Decision-Making are comparing it to the libraries listed below
Sorting:
- [ICLR 2024 Spotlight] Code for the paper "Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making"☆12Apr 22, 2024Updated last year
- Model-Based Uncertainty in Value Functions (AISTATS2023)☆16Feb 28, 2023Updated 2 years ago
- Implementation of Multi-Game Decision Transformers in PyTorch☆49Feb 11, 2023Updated 3 years ago
- Codebase for the paper "How Crucial is Transformer in Decision Transformer?". Containing experiments on different pendulum tasks and code…☆28Mar 24, 2023Updated 2 years ago
- Minimal Decision Transformer Implementation written in Jax (Flax).☆17Aug 8, 2022Updated 3 years ago
- Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC☆61Aug 3, 2023Updated 2 years ago
- PyTorch implementations for Offline Preference-Based RL (PbRL) algorithms☆21Mar 24, 2025Updated 10 months ago
- ☆18Jul 10, 2022Updated 3 years ago
- An unofficial implementation for online decision transformer☆41Sep 20, 2022Updated 3 years ago
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆231Sep 13, 2024Updated last year
- SEIKO is a novel reinforcement learning method to efficiently fine-tune diffusion models in an online setting. Our methods outperform all…☆29Jul 18, 2024Updated last year
- A curated list of Decision Transformer resources (continually updated)☆871Dec 15, 2025Updated 2 months ago
- Official code for ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning (AAAI'24)☆17Feb 10, 2024Updated 2 years ago
- On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning☆16Apr 30, 2023Updated 2 years ago
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆28Aug 9, 2024Updated last year
- Online Decision Transformer☆274Jan 22, 2024Updated 2 years ago
- ☆13May 23, 2024Updated last year
- Companion code to TRC paper: Daniel A. Lazar, Erdem Bıyık, Dorsa Sadigh, Ramtin Pedarsani. "Learning how to Dynamically Route Autonomous …☆16Aug 9, 2021Updated 4 years ago
- A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation (ICLR2023)☆14Feb 3, 2023Updated 3 years ago
- Measuring the Signal to Noise Ratio in Language Model Evaluation☆28Aug 19, 2025Updated 5 months ago
- Synthetic Experience Replay☆109May 27, 2024Updated last year
- ☆35Jan 29, 2023Updated 3 years ago
- Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in Open…☆287Jun 10, 2022Updated 3 years ago
- Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024☆73Mar 22, 2024Updated last year
- Minimalistic, hackable PyTorch implementation of SimSiam in ~400 lines. Achieves good performance on ImageNet with ResNet50. Features dis…☆21Nov 25, 2024Updated last year
- Challenging Memory-based Deep Reinforcement Learning Agents☆109Oct 27, 2024Updated last year
- OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation☆16Aug 3, 2023Updated 2 years ago
- Flow RL is a high-performance RL library with flow and diffusion models.☆27Feb 6, 2026Updated last week
- Official Code for Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization (NIPS 2024)☆21Aug 15, 2024Updated last year
- MTM Masked Trajectory Models for Prediction, Representation, and Control.☆162Dec 16, 2025Updated 2 months ago
- Reinforcement Learning via Supervised Learning☆72May 16, 2022Updated 3 years ago
- Implementation of ICLR 2025 paper "Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation"☆18Oct 5, 2024Updated last year
- Benchmarked implementations of Offline RL Algorithms.☆76Mar 4, 2025Updated 11 months ago
- Accelerated replay buffers in JAX☆46Sep 17, 2022Updated 3 years ago
- Code for NeurIPS paper "Self-Organized Group for Cooperative Multi-agentReinforcement Learning".☆21Feb 20, 2023Updated 2 years ago
- ☆20Mar 19, 2024Updated last year
- AGaLiTe: Approximate Gated Linear Transformers for Online Reinforcement Learning (Published in TMLR)☆23Oct 15, 2024Updated last year
- Implemention of the Decision-Pretrained Transformer (DPT) from the paper Supervised Pretraining Can Learn In-Context Reinforcement Learni…☆78May 28, 2024Updated last year
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆18Nov 8, 2024Updated last year