autonomous-learning-library

DRL framework

A comprehensive library for building deep reinforcement learning agents using PyTorch

A PyTorch library for building deep reinforcement learning agents.

GitHub

646 stars
23 watching
72 forks
Language: Python
last commit: 8 months ago
a2cadvantage-actor-criticddpgdeep-deterministic-policy-gradientdeep-q-learningdeep-reinforcement-learningdqndqn-pytorchppoproximal-policy-optimizationreinforcement-learningreinforcement-learning-algorithmssacsoft-actor-critic

Related projects:

Repository Description Stars
jingweiz/pytorch-rl A comprehensive project that provides an implementation of deep reinforcement learning algorithms using PyTorch and Visdom. 797
iffix/machin An open-source reinforcement learning library for PyTorch, providing a simple and clear implementation of various algorithms. 401
kengz/slm-lab A comprehensive framework for deep reinforcement learning using PyTorch. 1,256
tristandeleu/pytorch-maml-rl Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks 827
ikostrikov/pytorch-ddpg-naf An implementation of reinforcement learning algorithms for continuous control tasks using deep neural networks. 307
eduardoleao052/js-pytorch A JavaScript library that provides GPU-accelerated deep learning capabilities with automatic differentiation and neural network layers. 1,084
astooke/rlpyt A modular and unified framework for implementing common deep reinforcement learning algorithms in PyTorch 2,232
minqi/learning-to-communicate-pytorch This project implements a PyTorch-based framework for learning discrete communication protocols in multi-agent reinforcement learning environments. 346
devendrachaplot/deeprl-grounding Trains an RL agent to execute natural language instructions in a 3D environment using a combination of A3C and gated attention mechanisms. 237
dmarnerides/pydlt A PyTorch-based toolbox for building and training deep learning models with ease. 204
graal-research/poutyne A PyTorch framework simplifying neural network training with automated boilerplate code and callback utilities 569
catalyst-team/catalyst-rl A PyTorch framework for accelerating reinforcement learning research and development by providing a modular, reusable, and customizable training loop 46
floringogianu/categorical-dqn An implementation of reinforcement learning algorithm using PyTorch and designed to work with Atari games. 96
hungtuchen/pytorch-dqn An implementation of a deep reinforcement learning network using PyTorch to learn human-level control through trial and error. 386
luchris429/purejaxrl A high-performance implementation of reinforcement learning training pipelines using JAX and PyTorch-like functionality 722