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60_days_rl_challenge

Learn Deep Reinforcement Learning in Depth in 60 days

a-deep-reinforcement-learning-network-for-traffic-light-cycle-control

A Deep Reinforcement Learning Network for Traffic Light Cycle Control

a2c

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

aaai-goal

This is the codebase for the goal domain, implemented with Pygame.

adaptive-traffic-signal-control-using-reinforcement-learning

This is an application exploiting principles of Deep Reinforcement Learning. The Deep Neural Network is trained to approximate the Bellman Equation (Q-Learning).

adeptrl

Reinforcement learning framework to accelerate research

agents

Efficient Batched Reinforcement Learning in TensorFlow

ai-job-notes

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

alphazero_gomoku

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

atari-py

A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface

awesome-rl

Reinforcement learning resources curated

baby-a3c

A high-performance Atari A3C agent in 180 lines of PyTorch

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bcq

Author's PyTorch implementation of BCQ for continuous and discrete actions

beamerstyleslides

🌈Beamer风格的幻灯片模板集。包含了PowerPoint和Keynote两套格式。

betago

BetaGo: AlphaGo for the masses, live on github.

burlap_caffe

cartpole

chess-alpha-zero

Chess reinforcement learning by AlphaGo Zero methods.

chinesechess-alphazero

Implement AlphaZero/AlphaGo Zero methods on Chinese chess.

colight

CoLight: Learning Network-level Cooperation for Traffic Signal Control

curious

Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning

dan

Code release of "Learning Transferable Features with Deep Adaptation Networks" (ICML 2015)

darkforestgo

DarkForest, the Facebook Go engine.

ddq

Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

deep-qlearning-agent-for-traffic-signal-control

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize the traffic efficiency.

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deep-reinforcement-learning-algorithms-with-pytorch

deep-reinforcement-learning-in-large-discrete-action-spaces

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym