imxiaoxuesheng Goto Github PK

a3c

Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.

adnet

Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning (CVPR 2017)

ai-blog

Accompanying repository for Let's make a DQN / A3C series.

alpha-zero

AlphaZero implementation for Othello, Connect-Four and Tic-Tac-Toe based on "Mastering the game of Go without human knowledge" and "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm" by DeepMind.

async-rl

Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"

awesome-reinforcement-learning-zh

中文整理的强化学习资料（Reinforcement Learning）

benchmarks

Benchmark code

commnet-bicnet

CommNet and BiCnet implementation in tensorflow

cuckooml

CuckooML: Machine Learning for Cuckoo Sandbox

distributed-maddpg

Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.

dynamic_vehicle_routing_scheduling

Adaptive Large Neighborhood Search, Periodic and Continuous Insertion Heuristics for Dynamic Workforce Routing and Scheduling Problem with Geographically Distributed Orders with Precedence Relations and Multi_skill Requirements

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

ic3net

Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks

interview

Interview = 简历指南 + LeetCode + Kaggle

lasertag-v0

Implementation of Deepmind's LaserTag-v0 game in A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning(2017)

learning-to-communicate

Learning to Communicate with Deep Multi-Agent Reinforcement Learning

learning-to-communicate-pytorch

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

lola

Code release for Learning with Opponent-Learning Awareness and variations.

m3ddpg

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

navigationresearch

AUV position estimation with seabed acoustic sensing and DOA measurements (extended Kalman filter and conditionnaly minimax nonlinear filter)

robosumo

Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"

scalable_maddpg

scalable multi agents reinforcement learning

super-mario-bros-a3c-pytorch

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros