UniPD - DS Reinforcement Learning Subject 2025-2026 Q1. This subject explores the machine learning subset of algorithms related to reinforcement learning through a comprehensive review of Sutton & Barto.
The directory is structured in the following way:
- THEORY: Contains slides and theoretical resources
- EXAMS: Past years partial and final exams
- SUMMARIES: Collection of curated summaries of RL principles and theory
- LAB: Laboratory sessions on Q-Learning, MonteCarlo, TD, Sarsa...
- PROJECT: Final personal project on RLHF: Pedantically Reinforced Large Language Model (PRLLM)