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This repository contains lecture notes, practical materials, and implementations for the course: "Reinforcement Learning: from Bandits to RLHF" The course is designed to provide a deep and systematic understanding of RL, combining: solid mathematical foundations intuitive explanations practi... Read more

[2017] Solving homeworks for Berekeley Deep Reinforcement Learning Course

Project for Berkeley Deep RL course: using deep reinforcement learning for segmentation of medical images

Source code for the course "Deep Reinforcement Learning for High-Frequency Trading" held at the Ukrainian Catholic University / Czech Technical University in July 2022.

Autonomously drifting car that learned how to drift in a roundabout using Deep Reinforcement Learning and the Carla Simulator. Performed as part of a project in the course TSFS12: Autonomous vehicles -- planning, control, and learning systems, taught at Linköping University.

Materials for Deep Reinforcement Learning – ÚFAL course NPFL139

Artificial Intelligence and Machine Learning have empowered our lives to a large extent. The number of advancements made in this space has revolutionized our society and continue making society a better place to live in. In terms of perception, both Artificial Intelligence and Machine Learning a... Read more

CS525/DS595 Course Project - Deep Reinforcement Learning for Decision Making in Autonomous Driving

This repository contains my notes about deep reinforcement learning course in NJU.

Welcome to 6.86x Machine Learning with Python–From Linear Models to Deep Learning. Machine learning methods are commonly used across engineering and sciences, from computer systems to physics. Moreover, commercial sites such as search engines, recommender systems (e.g., Netflix, Amazon), adverti... Read more