Riccardo De Santi

1. The Importance of Non-Markovianity in Maximum State Entropy Exploration
   2022/02/07 by Mirco Mutti, Mutti, Mirco, Riccardo De Santi +3 · 4 citations
   Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Reinforcement Learning in Robotics #Data Stream Mining Techniques
2. Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction
   2024/07/18 by Riccardo De Santi, De Santi, Riccardo, Federico Arangath Joseph +7 · 1 citation
   Computer Science · #AI-based Problem Solving and Planning #Data Management and Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotic Path Planning Algorithms