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)
This project contains several Deep Reinforcement Learning method and some experiments basd on OpenAi gym.
DeepRL para Forex Trading
LauzHack Deep Learning Bootcamp
My own implementation of deep reinforcement learning algorithms.
Atari OpenAI Pong-v4 DeepRL-based solutions (DQN, DuelingDQN, D3QN)
Comprehensive Deep RL Implementations
OpenAI MountainCar-v0 DeepRL-based solutions (DQN, DuelingDQN, D3QN)
Implementation of Continuous Control RL Algorithms
TensorFlow2 implementation of Self-Imitation Learning (SIL) with Synchronous Advantage Actor-Critic (A2C).
My Solution to Berkeley CS285 Deep Reinforcement Learning Fall22
PPO with Hindsight Experience Replay (HER)
이 저장소는 강화학습의 학습 방법 중 하나인 정책 경사(policy gradient)에 대한 방법론을 정리합니다.
2022 Spring Semester, Personal Project Research
Hindsight for Unsupervised Skill Discovery
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.
This is a Deep Reinforcement Learning solution for the Lunar Lander problem in OpenAI Gym using dueling network architecture and the double DQN algorithm.
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