Modularized Implementation of Deep RL Algorithms in PyTorch

• UpdatedApr 16, 2024
• Python

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)

• UpdatedMar 18, 2025
• Jupyter Notebook

LauzHack Deep Learning Bootcamp

• UpdatedJul 19, 2025
• Jupyter Notebook

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

• UpdatedAug 11, 2021
• Python

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

• UpdatedAug 11, 2021
• Python

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.

• UpdatedAug 22, 2022
• Jupyter Notebook

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

• UpdatedJan 28, 2018
• Python

Implementation of Continuous Control RL Algorithms

• UpdatedDec 8, 2022
• Python

PPO with Hindsight Experience Replay (HER)

• UpdatedMay 8, 2018
• Python

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

• UpdatedAug 11, 2021
• Python

My Solution to Berkeley CS285 Deep Reinforcement Learning Fall22

• UpdatedNov 20, 2022
• Jupyter Notebook

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

• UpdatedJun 12, 2019
• Python

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

• UpdatedAug 11, 2021
• Python

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.

• UpdatedFeb 18, 2023
• Jupyter Notebook

My own implementation of deep reinforcement learning algorithms.

• UpdatedMar 25, 2023
• Python

Comprehensive Deep RL Implementations

• UpdatedDec 27, 2024

Soccer3D Deep RL Framework

• UpdatedJun 21, 2019
• C++

DeepRL para Forex Trading

• UpdatedApr 8, 2019
• MQL5

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

• UpdatedFeb 10, 2024
• Jupyter Notebook

This project is an experiment that applies in real-time the style of famous paintings to popular fighting retro games, which are provided as Reinforcement Learning environments by DIAMBRA. It is based on the paper "Perceptual Losses for Real-Time Style Transfer and Super-Resolution".

• UpdatedApr 23, 2023
• Python