vzhuang Goto Github PK

atari-reset

Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bdqn-mxnet-gluon

blocks

A Theano framework for building and training neural networks

cf-nade

A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.

cs143

Network simulator for Caltech CS 143

cuda-convnet

dcgan-tensorflow

A tensorflow implementation of Deep Convolutional Generative Adversarial Networks

ddpg-aigym

Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments

deep-go

deeprl

Deep reinforcement learning for Atari

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

dqfd

An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Learning

dqn-mxnet-gluon

DQN-MxNet-Gluon

elf

An End-To-End, Lightweight and Flexible Platform for Game Research

fastpixelcnn

Speed up PixelCNN++ image generation by up to a 183 times

gated-pixel-cnn

A TensorFlow implementation of the gated variant of PixelCNN (Gated PixelCNN) from "Conditional Image Generation with PixelCNN Decoders" (https://arxiv.org/abs/1606.05328).

gatedpixelcnnpytorch

PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016

improved-gan

code for the paper "Improved Techniques for Training GANs"

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

keras-rl

Deep Reinforcement Learning for Keras.

osim-rl

Reinforcement learning environments with musculoskeletal models

pixel-cnn

Python3 / Tensorflow implementation of PixelCNN++, as described in "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

pixel_cnn_pp

Pytorch Implementation of PixelCNN++

pixel_exploration

PyTorch implementation of Count-Based Exploration with Neural Density Models

pytorch-ddpg

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

rlpyt

Reinforcement Learning in PyTorch

safeopt

Safe Bayesian Optimization

safety-starter-agents

Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.

stageopt