Modularized Implementation of Deep RL Algorithms in PyTorch
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Updated
Apr 16, 2024 - Python
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)
OpenAI LunarLander-v2 DeepRL-based solutions (DQN, DuelingDQN, D3QN)
OpenAI MountainCar-v0 DeepRL-based solutions (DQN, DuelingDQN, D3QN)
This project contains several Deep Reinforcement Learning method and some experiments basd on OpenAi gym.
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.
LauzHack Deep Learning Bootcamp
Implementation of Continuous Control RL Algorithms
PPO with Hindsight Experience Replay (HER)
이 저장소는 강화학습의 학습 방법 중 하나인 정책 경사(policy gradient)에 대한 방법론을 정리합니다.
Atari OpenAI Pong-v4 DeepRL-based solutions (DQN, DuelingDQN, D3QN)
OpenAI CartPole-v0 DeepRL-based solutions (DQN, DuelingDQN, D3QN)
My own implementation of deep reinforcement learning algorithms.
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.
Comprehensive Deep RL Implementations
My Solution to Berkeley CS285 Deep Reinforcement Learning Fall22
DeepRL para Forex Trading
This is a Deep Reinforcement Learning solution for the Lunar Lander problem in OpenAI Gym using dueling network architecture and the double DQN algorithm.
2022 Spring Semester, Personal Project Research
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