dqn-algorithm

There are 0 repository under dqn-algorithm topic.

• YangRui2015 / 2048_env

  2048 environment for Reinforcement Learning and DQN algorithm

  2048dqn-algorithmgym-environmentpytorch
  Language:Python 40

• Sarmadzandi / Deep-Reinforcement-Learning-based-Decision-Making-in-Autonomous-Driving-Tasks

  Deep Reinforcement Learning based Decision-Making in Autonomous Driving Tasks

  autonomous-carautonomous-drivingdeep-reinforcement-learningdqndqn-algorithmdrlgymhighway-envpytorch
  Language:Jupyter Notebook 19

• chirag-singhal / Double-DQN

  Deep Reinforcement Learning with Double Q-learning

  reinforcement-learningdouble-dqndqnatarideep-reinforcement-learningdqn-algorithmq-learning
  Language:Jupyter Notebook 14

• SHIVOH / Deep-Reinforcement-Learning-My-First-DQN-Agent

  This is an implementation of Deep Reinforcement Learning for a navigation task. Specifically, DQN algorithm with experience replay method is used to solve the task.

  deep-reinforcement-learningdqn-algorithmexperience-replay
  Language:Jupyter Notebook 4

• albemordo / dqn

  tensorflowreinforcement-learningreinforcement-learning-algorithmsdqndqn-tensorflowdqn-algorithmdqn-modellunar-landerlunarlander-v2lunarlanderdeep-learningdeep-neural-networksdeep-reinforcement-learninggradient-descentgradient-tapegradient-tape-optimization
  Language:Jupyter Notebook 1

• AsfandAliMemon25 / QL_DQN-

  First I created an environment of openAI and Gymnasium I have campared Q-Learning Algoirthm and and DQN Learning Algorithm I got best reward DQN Because It's advance

  artificial-intelligencedqn-algorithmgym-environmentgymnasiummachine-learningmachine-learning-algorithmsopenaiopenai-gymqlearning
  Language:Python 0

• daniels-kb / openai-dqn-cartpole

  Reinforcement Learning: Cartpole Balancing with a DQN Agent

  deep-reinforcement-learningdqn-algorithm
  Language:Python 0

• darknovismc / Reinforcement-Learning-Breakout

  Simple breakout game with DQN agent which learn how to play it.

  breakout-gamedqn-algorithmreinforcement-learningreinforcement-learning-algorithmstensorflow-cpp
  Language:C 0

• hemanthchebiyam / CarRacing-ReinforcementLearning

  This repo hosts a sophisticated reinforcement learning setup for training a DQN agent in “CarRacing-v2”. It has self-adaptive features like dynamic learning rate and domain randomization to boost agent training and performance. It includes an Evaluation Callback for optimal model retention and leverages GPU for quicker training.

  dqn-algorithmopenai-gymreinforcement-learning
  Language:Jupyter Notebook 0

• igargikaushik / flappyBird

  a 2D platformer game made with Unity engine and C#

  csharpdqn-algorithmgame-2dunity2dshaderlab
  Language:ShaderLab 0

• LeoRigasaki / Deep-Q-Network-implementation

  This repository contains a comprehensive implementation of a Deep Q-Network (DQN) to train an AI agent to play Atari's Breakout game. The implementation leverages OpenAI Gym for the game environment and TensorFlow/Keras for the neural network. Features include experience replay, target networks, and game monitoring via exported videos.

  dqn-algorithmopenaiopenai-gymreinforcement-learning
  Language:Jupyter Notebook 0

• lorenzomancini1 / DeepRL

  Implementations of some of the most well known Deep Reinforcement Learning algorithms

  actor-criticactor-critic-methodsdeep-reinforcement-learningpolicy-gradientdqn-algorithmpytorch
  Language:Python 0

• t3i8m / KEN2_project

  This project is a Yinsh board game implemented with JavaFX with two types of bots: Alpha-beta prunning bot and Deep Q Network bot

  abstract-gameadversial-searchai-botsalpha-beta-pruningdeep-neural-networksdqn-algorithmjavafxmachine-learningyinsh-board-gamesreinforcement-learning
  Language:Java 0

• JANBOUBI-ABDERRAHIM / Trading-bot-Using-Reinforcement-Learning

  currencydqn-agentsdqn-algorithmgym-environmentkerasreinforcement-learningreinforcement-learning-agentreinforcement-learning-algorithmsreinforcement-learning-environmentsrlstock-tradingtensorflowtrading-bot
  Language:Jupyter Notebook

• NamrataThakur / RL-Based-Profit-Maximization

  dqndqn-agentsdqn-algorithmprofit-maximizationreinforcement-learningreinforcement-learning-agentreinforcement-learning-environments
  Language:Jupyter Notebook

• riddhima109 / Reinforcement-Learning-Snake-Game

  The "Reinforcement Learning Snake Game" project uses Deep Q-Learning to train an AI agent to play Snake autonomously. The agent learns to maximize its score by eating apples and avoiding collisions, demonstrating reinforcement learning in a game environment. The project includes game logic, RL agent code, and training scripts.

  dqn-algorithmpytorchreinforcement-learning
  Language:Python