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qmap

Q-map: a Convolutional Approach for Goal-Oriented Reinforcement Learning

quick_start

r-ml

rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

rainbow_extend

raisimgym

random-network-distillation

ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

readme

README文件语法解读，即Github Flavored Markdown语法介绍

reaver-pysc2

Reaver: StarCraft II Deep Reinforcement Learning Agent. Modular DRL framework. Works with Gym, Atari, and MuJoCo as well.

rebel

An algorithm that generalizes the paradigm of self-play reinforcement learning and search to imperfect-information games.

reco-gym

Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

recsim

A Configurable Recommender Systems Simulation Platform

recsys2019_deeplearning_evaluation

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches"

recurrent-visual-attention

A PyTorch Implementation of "Recurrent Models of Visual Attention"

reinforcementlearning

Reinforcement Learning

rela

Reinforcement Learning Assembly

relationaldeeplearning

Bridging relational and deep learning

reloading

Change Python code while it's running using a reloading loop

reproduction-soft-qlearning-mutual-information

Reproduction of the paper "Soft Q-Learning with Mutual Information Regularization" under review at ICLR 2019.

residual-policy-learning

Residual policy learning

retro_contest_agent

retrocodes

Codes of our team for the OpenAI Retro Contest of reinforcement learning

revisiting_rainbow

Revisiting Rainbow

reward-learning-rl

[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering

rl

Generic reinforcement learning codebase in TensorFlow

rl-adventure-2

PyTorch4 tutorial of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

rl-agents

A collection of Reinforcement Learning agents

rl-difference-testing

Simple tools for statistical analyses in RL experiments

rl-experiments

Keeping track of RL experiments