Alex Wang's starred repositories
google-research
Google Research
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
machine-learning-asset-management
Machine Learning in Asset Management (by @firmai)
softlearning
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
pytorch_memlab
Profiling and inspecting memory in pytorch
texar-pytorch
Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/
bdl-benchmarks
Bayesian Deep Learning Benchmarks
pytorch-rl
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
spinning-up-basic
Basic versions of agents from Spinning Up in Deep RL written in PyTorch
handful-of-trials-pytorch
Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
Conjugate-Gradient
Painless conjugate gradient notebooks