decision-transformer
Decision transformer
A Python implementation of a reinforcement learning algorithm that uses sequence modeling to solve complex decision-making tasks
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
2k stars
29 watching
452 forks
Language: Python
last commit: 8 months ago Related projects:
Repository | Description | Stars |
---|---|---|
parrt/dtreeviz | A Python library for visualizing and interpreting decision trees in machine learning models. | 2,984 |
huggingface/trl | A library designed to train transformer language models with reinforcement learning using various optimization techniques and fine-tuning methods. | 10,308 |
jbloomaus/decisiontransformerinterpretability | An open-source project that provides tools and utilities to understand how transformers are used in reinforcement learning tasks. | 75 |
rlcode/reinforcement-learning | A collection of clean and minimal examples for various reinforcement learning algorithms | 3,433 |
opendilab/di-engine | A comprehensive decision intelligence framework for building and deploying reinforcement learning models | 3,143 |
tju-drl-lab/ai-optimizer | A next-generation deep reinforcement learning toolkit with libraries for multiagent, self-supervised, offline, and transfer/reinforcement learning | 4,848 |
p-christ/deep-reinforcement-learning-algorithms-with-pytorch | PyTorch implementations of popular deep reinforcement learning algorithms and environments. | 5,669 |
tmadl/sklearn-expertsys | A scikit-learn wrapper for interpretable classifiers based on decision rules | 489 |
ikostrikov/pytorch-a2c-ppo-acktr-gail | An open-source implementation of several reinforcement learning algorithms in PyTorch | 3,644 |
thu-ml/tianshou | A high-performance reinforcement learning library with modular interfaces and user-friendly APIs for building deep learning agents. | 8,069 |
keras-rl/keras-rl | An implementation of state-of-the-art deep reinforcement learning algorithms in Python. | 5,530 |
shangtongzhang/reinforcement-learning-an-introduction | Implementation of key concepts and algorithms in reinforcement learning using Python | 13,685 |
tristandeleu/pytorch-maml-rl | Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 830 |
nathanepstein/pavlov.js | Reinforcement learning using Markov Decision Processes in C++ compiled to JavaScript | 500 |
trekhleb/homemade-machine-learning | Practices implementing popular machine learning algorithms from scratch to gain a deeper understanding of their mathematics | 23,191 |