wwxfromtju Goto Github PK

ar_tju

北洋AR，建立在天津大学录取通知书上，然后可以将学校的图像显示出来

asn_backbone

asn_cloud

assignment1

Assignment 1: automatic differentiation

assignment2

Assignment 2: GPU Executor

astool

Augmented environments with RL

atari-leaderboard

A leaderboard of human and machine performance on the Arcade Learning Environment (ALE).

atari-model-zoo

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

atari-representation-learning

Code for "Unsupervised State Representation Learning in Atari"

atari-reset

Learn RL policies for Atari by resetting from a demonstration

autograd

Efficiently computes derivatives of numpy code.

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

awesome-reinforcement-learning-lib

GitHub's code repository is all you need

awesome-reinforcement-learning-zh

中文整理的强化学习资料（Reinforcement Learning）

awesome-resume-for-chinese

:page_facing_up: 适合中文的简历模板收集（LaTeX，HTML/JS and so on）由 @hoochanlon 维护

awesome-transformer

This repo is not maintained. For latest version, please visit https://github.com/ictnlp. A collection of transformer's guides, implementations and variants.

awr

Implementation of advantage-weighted regression.

backpropthroughthevoidrl

RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Baseline repo.

baconian-project

Model-based Reinforcement Learning Framework

baselines-rudder

RUDDER for ATARI games with delayed rewards in OpenAI Baselines package

baselines_a2c

baselines_acer

baselines_acktr

baselines_ddpg

baselines_ppo

baselines_trpo

bayesian_neural_network_papers

Papers for Bayesian-NN

bcq

PyTorch implementation of BCQ for "Off-Policy Deep Reinforcement Learning without Exploration"

bear

Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction