Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow
MIT License
Statistics for this project are still being loaded, please check back later.
Robust policy search algorithms which train on model ensembles
Collection of reinforcement learning algorithms
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compa...
Minimal and Clean Reinforcement Learning Examples
PyTorch based Reinforcement Learning for OpenSim Prosthetics and Learning to Run environments
PFRL: a PyTorch-based deep reinforcement learning library
PyTorch implementations of deep reinforcement learning algorithms and environments
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods f...
The next generation deep reinforcement learning tookit
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementat...
A comparison of parameter space noise methods for exploration in deep reinforcement learning
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
Reinforcement Learning in PyTorch