Implementation of Multi-Game Decision Transformers in PyTorch
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Updated
Feb 11, 2023 - Python
Implementation of Multi-Game Decision Transformers in PyTorch
Deep Reinforcement Learning AI to play the SuperTuxKart race game using a Decision Transformer
Applying regular transformer and decision transformer on solving the Rubik's cube. A paper is also written to document the results
Pilaf is a Backgammon agent using Decision Transformers and Offline RL
[ECCV2022] [T-PAMI] StARformer: Transformer with State-Action-Reward Representations.
Code release for the ICLR 2023 conference paper "DeFog: Decision Transformer under Random Frame Dropping"
This repository is used to generate data and evaluate Decision Transformers on the CityLearn (Challenge 2022) environment for urban energy management
some experiments with training and fine-tuning decision transformer
The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"
Code accompanying the paper Pretraining Language Models with Human Preferences
ATAG - Automated Test Automation Generation
stable-baselines with JAX & Haiku
Code for paper Sub-goal Distillation: A Method to Improve Small Language Agents, accepted at CoLLAs 2024.
Implementation of the decision tranformer paper in tinygrad
Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
Retrieval-Augmented Decision Transformer: External Memory for In-context RL
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
Reinforcement Learning is often complex, but Decision Transformers frame offline RL as a sequence modeling problem. This repo provides the complete stack -- from development to deployment of Decision Transformers.
ViAD - Visualize, Analyse and Decide methodology. It consists of leveraging Vision Transformers to get the raw visual perception of the environment, an LLM for comprehension and strategic planning, and Decision Transformers to implement low level execution leveraging memory-based learning.
Reinforcement learning auto-bidding library for research and production.
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