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Young Jun Seo's Projects

a3c icon a3c

Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.

a3c-lstm icon a3c-lstm

A3C-LSTM algorithm tested on CartPole OpenAI Gym environment

a3c_continuous icon a3c_continuous

A continuous action space version of A3C LSTM in pytorch plus A3G design

agent57 icon agent57

Qiita投稿用に作成したAgent57(強化学習)の実装コードです。

agents icon agents

TF-Agents is a library for Reinforcement Learning in TensorFlow

alpha-zero-general icon alpha-zero-general

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4

alphapose icon alphapose

Real-Time and Accurate Multi-Person Pose Estimation&Tracking System

async-rl icon async-rl

Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

btgym icon btgym

OpenAI Gym environment for Backtrader trading platform

cache2k icon cache2k

Lightweight, high performance Java caching

cartpole icon cartpole

Tensorflow implementation of DQN to control cart-pole from OpenAI gym environment

classiccontroldqn icon classiccontroldqn

Use single DQN model to solve 2 classic control problem: CartPole and Acrobot

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