Modularized Implementation of Deep RL Algorithms in PyTorch

Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)

LauzHack Deep Learning Bootcamp

OpenAI LunarLander-v2 DeepRL-based solutions (DQN, DuelingDQN, D3QN)

OpenAI MountainCar-v0 DeepRL-based solutions (DQN, DuelingDQN, D3QN)

You can see a reference for Books, Articles, Courses and Educational Materials in this field. Implementation of Reinforcement Learning Algorithms and Environments. Python, OpenAI Gym, Tensorflow.

This project contains several Deep Reinforcement Learning method and some experiments basd on OpenAi gym.

Implementation of Continuous Control RL Algorithms

PPO with Hindsight Experience Replay (HER)

Atari OpenAI Pong-v4 DeepRL-based solutions (DQN, DuelingDQN, D3QN)

My Solution to Berkeley CS285 Deep Reinforcement Learning Fall22

이 저장소는 강화학습의 학습 방법 중 하나인 정책 경사(policy gradient)에 대한 방법론을 정리합니다.

OpenAI CartPole-v0 DeepRL-based solutions (DQN, DuelingDQN, D3QN)

Comprehensive Deep RL Implementations

This repository contains the implementation of a wide variety of Reinforcement Learning Projects in different applications of Bandit Algorithms, MDPs, Distributed RL and Deep RL. These projects include university projects and projects implemented due to interest in Reinforcement Learning.

My own implementation of deep reinforcement learning algorithms.

DeepRL para Forex Trading

Soccer3D Deep RL Framework

This is a Deep Reinforcement Learning solution for the Lunar Lander problem in OpenAI Gym using dueling network architecture and the double DQN algorithm.

N++2 is a multi-threaded neural network simulator with network sharding and BLAS support. It was developed from 2007 to 2010 in order to realize training and realtime inference of deep autoencoder networks. With its help I created the first visual DeepRL control policies.