LauzHack Deep Learning Bootcamp
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Updated
Aug 3, 2024 - Jupyter Notebook
LauzHack Deep Learning Bootcamp
Hindsight for Unsupervised Skill Discovery
Modularized Implementation of Deep RL Algorithms in PyTorch
This is a Deep Reinforcement Learning solution for the Lunar Lander problem in OpenAI Gym using dueling network architecture and the double DQN algorithm.
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.
Implementation of Continuous Control RL Algorithms
My Solution to Berkeley CS285 Deep Reinforcement Learning Fall22
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.
Comprehensive Deep RL Implementations
2022 Spring Semester, Personal Project Research
TensorFlow2 implementation of Self-Imitation Learning (SIL) with Synchronous Advantage Actor-Critic (A2C).
Atari OpenAI Pong-v4 DeepRL-based solutions (DQN, DuelingDQN, D3QN)
OpenAI LunarLander-v2 DeepRL-based solutions (DQN, DuelingDQN, D3QN)
OpenAI MountainCar-v0 DeepRL-based solutions (DQN, DuelingDQN, D3QN)
OpenAI CartPole-v0 DeepRL-based solutions (DQN, DuelingDQN, D3QN)
Sandbox for Deep Reinforcement Learning Algorithms
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)
이 저장소는 강화학습의 학습 방법 중 하나인 정책 경사(policy gradient)에 대한 방법론을 정리합니다.
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