强化学习算法库,包含了目前主流的强化学习算法(Value based and Policy based)的代码,代码都经过调试并可以运行
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Updated
Nov 2, 2023 - Python
强化学习算法库,包含了目前主流的强化学习算法(Value based and Policy based)的代码,代码都经过调试并可以运行
🕹️ Flappy Bird hack using Deep Reinforcement Learning with Double Q-learning
Training a vision-based agent with the Deep Q Learning Network (DQN) in Atari's Breakout environment, implementation in Tensorflow.
reinforcement learning DQN method to solve OpenAi Gym "LunarLander-v2" by usnig a Deep Neuralnetwork
Self Diving Car Game using Pytorch and Kivy framework in Python
Solving MsPacman game using Deep Q-learning algorithm
Tensorflow - Keras /PyTorch Implementation ⚡️ of State-of-the-art DeepQN for RL Gym benchmarks 👨💻
Tensorflow based DQN and PyTorch based DDQN Agent for 'MountainCar-v0' openai-gym environment.
Deep Learning Project on Task Scheduling
A Self Driving Car with Reinforcement Learning
Implementation of Deep Q Learning algorithms in pytorch
🐍 The Project is based on Reinforcement Learning which trains the snake to eat the food present in the environment.
Path finding of a doubly Q network with using social choice theory and improved classical Q learning algorithm . uses Tensorflow and pygame
In this project, I used Deep Reinforcement Learning to combine artificial neural networks with reinforcement learning.
This repository contains projects completed as a part of the coursework for Introduction to Machine Learning (Fall 2019) taught by Prof. Sargur N. Srihari at the University at Buffalo.
Reinforcement Learning Project using Deep Q Network
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