Agents for various games
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Updated
Dec 15, 2023 - Python
Agents for various games
scalable C++ and python binding framework for Scientific Computing and Machine Learning
Heuristics, Game programming and Reinforcement Learning Based Games
Here are few solutions made for OpenAI Gym tasks (TaxiCar, FrozenLake, Mountain Car, Cliff Walking...) using Tensorflow Keras
Sandbox for Deep Reinforcement Learning Algorithms
This project investigates the intuitions/ideas behind Double DQN, and evaluate how much it can improve Q-value overestimation and agent performance. We aim to describe how the learning/update process in Double DQN ends up with better Q-value estimates and agent performance when comparing to that of DQN.
This repository showcases the implementation of a Double Deep Q-Learnig algorithm for the FrozenLake environment from Open AI's gym library.
Implementing a reinforcement learning agent (enemy) for 2D melee combat game and see the impact of RL in small scale and fluidity in 2D games
Class project with DeepQ learning for SuperMario
A trading strategy using optimal algorithms for k-Search
AI reinforcement learning virtual lunar lander project
Trained a Deep Q-Learning agent to autonomously land a lunar module in OpenAI's Gymnasium Lunar Lander environment.
AI cup competition code for optimum strategy
Reinforcement learning algorithm implements.
Using Deep Q Reinforcement Learning, watch our Minecraft agent, Steve, protect himself for as long as possible against Ghasts by building a shelter-like block structure.
Train an AI agent to play snake game
Reinforcement learning project on driving a car in a 2d environment
Project 1, Navigation, Deep Reinforcement Learning ND, Udacity
Pacman game and AI agents
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