Tracking literature and additional online resources on transformers for sequential decision making including RL and beyond.
☆54Dec 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of Multi-Game Decision Transformers in PyTorch☆50Feb 11, 2023Updated 3 years ago
- Minimal Decision Transformer Implementation written in Jax (Flax).☆18Aug 8, 2022Updated 4 years ago
- An unofficial implementation for online decision transformer☆41Sep 20, 2022Updated 4 years ago
- Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC☆63Aug 3, 2023Updated 3 years ago
- Model-Based Uncertainty in Value Functions (AISTATS2023)☆16Feb 28, 2023Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆29Apr 8, 2026Updated 6 months ago
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆256Sep 13, 2024Updated 2 years ago
- Anti exploration in offline reinforcement learning☆11May 17, 2021Updated 5 years ago
- Online Decision Transformer☆274Jan 22, 2024Updated 2 years ago
- A curated list of Decision Transformer resources (continually updated)☆920May 21, 2026Updated 5 months ago
- Decision Transformer: A brand new Offline RL Pattern.☆38Jan 28, 2022Updated 4 years ago
- Code release for "Supported Policy Optimization for Offline Reinforcement Learning" (NeurIPS 2022), https://arxiv.org/abs/2202.06239☆22Jun 24, 2023Updated 3 years ago
- Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in Open…☆293Jun 10, 2022Updated 4 years ago
- PyHOP is a simple Hierarchical Task Network (HTN) planner written in Python; here is a C++ port of PyHop.☆16Jul 17, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Derivative-Free, Training-Free, Guidance in Diffusion Models☆16Sep 30, 2024Updated 2 years ago
- Benchmarked implementations of Offline RL Algorithms.☆77Mar 4, 2025Updated last year
- Official PyTorch code for "Sample Efficient Offline-to-Online Reinforcement Learning" in TKDE'23.☆16Aug 14, 2023Updated 3 years ago
- SEIKO is a novel reinforcement learning method to efficiently fine-tune diffusion models in an online setting. Our methods outperform all…☆31Jul 18, 2024Updated 2 years ago
- Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction☆36Nov 3, 2023Updated 2 years ago
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆29Feb 21, 2022Updated 4 years ago
- Codebase for the paper "How Crucial is Transformer in Decision Transformer?". Containing experiments on different pendulum tasks and code…☆28Mar 24, 2023Updated 3 years ago
- ☆15May 18, 2025Updated last year
- Synthetic Experience Replay☆115Apr 16, 2026Updated 6 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Official Repository of the ICLR 2023 paper, Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning☆13May 2, 2023Updated 3 years ago
- ☆18Jul 10, 2022Updated 4 years ago
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆61Oct 6, 2024Updated 2 years ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆58May 21, 2023Updated 3 years ago
- The collection of my research papers' illustrations.☆21Oct 19, 2026Updated last week
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆81Aug 14, 2022Updated 4 years ago
- PyTorch implementations for Offline Preference-Based RL (PbRL) algorithms☆23Mar 24, 2025Updated last year
- OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation☆16Aug 3, 2023Updated 3 years ago
- Reinforcement Learning via Supervised Learning☆71May 16, 2022Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Planning from Pixels in Environments with Combinatorially Hard Search Spaces -- NeurIPS 2021☆12Jan 7, 2022Updated 4 years ago
- Official implementation of Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Reweighting☆16Feb 14, 2024Updated 2 years ago
- MTM Masked Trajectory Models for Prediction, Representation, and Control.☆167Dec 16, 2025Updated 10 months ago
- Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction （ICML 2023）☆55Aug 26, 2023Updated 3 years ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆116Oct 27, 2024Updated 2 years ago
- ☆15Dec 2, 2019Updated 6 years ago
- ☆34Jun 21, 2024Updated 2 years ago