Undergraduate Dissertation (University of Malta) 2020-2023 - 'Autonomous Drone Control using Reinforcement Learning''
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Updated
Dec 4, 2023 - Jupyter Notebook
Undergraduate Dissertation (University of Malta) 2020-2023 - 'Autonomous Drone Control using Reinforcement Learning''
Learning Mario Agent with the Double Deep Q-Learning Algorithm in the Gym Super Mario Environment.
The following project concerns the development of an intelligent agent for the famous game produced by Nintendo Super Mario Bros. More in detail: the goal of this project was to design, implement and train an agent with the Q-learning reinforcement learning algorithm.
Play Super Mario Bros Game using Double Deep Q Network implemented in PyTorch.
Model-free, off-policy reinforcement learning with DQN's on Gym's environments
This project is a Double Deep Q learning Agent that learns to play the dice game Yahtzee
Double deep q network implementation in OpenAI Gym's "Mountain Car" environment
Reinforcement learning implementation on C++
Implementation of the Double Deep Q-Learning algorithm with a prioritized experience replay memory to train an agent to play the minichess variante Gardner Chess
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