2048 environment for Reinforcement Learning and DQN algorithm
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May 27, 2022 - Python
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dqn-algorithm
Here are 23 public repositories matching this topic...
Deep Reinforcement Learning based Decision-Making in Autonomous Driving Tasks
deep-reinforcement-learning pytorch dqn gym autonomous-car autonomous-driving drl dqn-algorithm highway-env
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Nov 16, 2024 - Jupyter Notebook
Deep Reinforcement Learning with Double Q-learning
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Nov 17, 2020 - Jupyter Notebook
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.
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Feb 17, 2021 - Jupyter Notebook
基于DQN算法的投球2D仿真，没有考虑空气阻力，仅用于算法理解
machine-learning reinforcement-learning machine-learning-algorithms dqn reinforcement-learning-algorithms machinelearning dqn-pytorch dqn-agents hoop dqn-algorithm
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Jun 5, 2025 - Python
Hybrid Multi-Agent Simulation and Reinforcement Learning framework for financial market forecasting, featuring diverse rule-based traders and a Deep Q-Network trading agent.
stock-trading fianance reinforcement-learning-agent multi-agent-simulation agentpy dqn-algorithm stable-baselines3
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Jun 4, 2025 - Jupyter Notebook
Implemented a Rainbow DQN with Prioritized Experience Replay for Atari games (Space Invaders, CartPole), achieving more efficient learning, faster convergence, and higher performance than traditional DQN.
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May 5, 2025 - Jupyter Notebook
deep-neural-networks reinforcement-learning deep-learning tensorflow deep-reinforcement-learning dqn reinforcement-learning-algorithms gradient-descent lunar-lander lunarlander dqn-tensorflow lunarlander-v2 gradient-tape dqn-model dqn-algorithm gradient-tape-optimization
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Nov 23, 2021 - Jupyter Notebook
A Streamlit application demonstrating Reinforcement Learning (RL) for intelligent product recommendations in online advertising. Explore different RL algorithms and their impact on personalization.
reinforcement-learning multi-armed-bandit actor-critic product-recommendation q-learning-algorithm dqn-algorithm
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Apr 11, 2025 - Python
reinforcement-learning dqn reinforcement-learning-agent reinforcement-learning-environments dqn-agents dqn-algorithm profit-maximization
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Sep 21, 2023 - Jupyter Notebook
# FreeHoopRLThis project uses a Deep Q-Network (DQN) algorithm to train an AI agent for shooting basketballs in a simple 2D environment. The agent learns to choose the right angle and force to score points, with results visualized through training and analysis graphs. 🎉🤖
machine-learning reinforcement-learning dqn reinforcement-learning-algorithms dqn-pytorch dqn-agents hoop dqn-algorithm
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Jul 9, 2025 - Python
a 2D platformer game made with Unity engine and C#
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Mar 19, 2024 - ShaderLab
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
machine-learning qlearning machine-learning-algorithms openai-gym artificial-intelligence openai gymnasium gym-environment dqn-algorithm
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Jun 25, 2024 - Python
Simple breakout game with DQN agent which learn how to play it.
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Aug 13, 2022 - C
"Introduction to Reinforcement Learning" course at the Catholic University of Eichstätt-Ingolstadt
reinforcement-learning deep-reinforcement-learning inventory-management q-learning-algorithm dqn-algorithm
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Apr 22, 2025 - Jupyter Notebook
A small demo of RL algorithms on a trash collector robot
reinforcement-learning reinforcement-learning-algorithms rl reinforcement-learning-agent qnetwork dqn-algorithm
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Jun 25, 2025 - Python
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.
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Nov 14, 2024 - Python
Implementations of some of the most well known Deep Reinforcement Learning algorithms
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Jan 16, 2024 - Python
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.
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Dec 12, 2024 - Jupyter Notebook
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