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 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
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
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
Project 1, Navigation, Deep Reinforcement Learning ND, Udacity
Robotic Grasping with Reinforcement Learning.
This project is about implementing the reinforcement learning algorithm Deep Q-Learning on the Nokia's Snake Game to predict the actions. It makes use of the Python's Pygame and Pytorch libraries.
I utilized the A3C (Asynchronous Advantage Actor-Critic) algorithm to train a Deep Q-Learning (DQN) model, specifically tailored to solve the Kungfu gym environment.
Using Duelling Double Deep Q-Networks to solve a Unity-based Reinforcement Learning Environment
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