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river

大江大河

rkd

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

rl-baselines-zoo

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

rl-gan

Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation

rl-stock

📈 如何用深度强化学习自动炒股

rl-tutorial-jnrr19

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

rl4nmt

Reinforcement Learning for Neural Machine Translation

rl4rs

A Real-World Benchmark for Reinforcement Learning based Recommender System

rl4rs-papers

A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.

rl_from_scratch

This is where I write RL related stuff from scratch

rl_mlss_2020

rl_torcs

Reinforcement learning with docker and torcs

rlchina.github.io

rlkit

Collection of reinforcement learning algorithms

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

rlnas

rlpyt

Reinforcement Learning in PyTorch

rls

Reinforcement Learning Algorithms：SAC, TD3, TAC

rlstructures

RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, and different RL algorithms provided as examples.

rlzoo

Reinforcement Learning Model Zoo with TensorLayer

rmi

This is the code for the NeurIPS 2019 paper Region Mutual Information Loss for Semantic Segmentation.

rmnet

RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.

rmt4ml

Matlab Notebook for visualizing random matrix theory results and their applications to machine learning

rnn-from-scratch

A Recurrent Neural Network implemented from scratch (using only numpy) in Python.

rnnlib

RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/

roadcrackdetection

roam

Code for "ROAM: Recurrently Optimizing Tracking Model [CVPR2020]"

roamresearch

robby-robot-genetic-algorithm

Implementation of the Robby Robot genetic algorithm described in Melanie Mitchell's "Complexity: A Guided Tour"