1 citations · 1 across the 6 of their papers we have counts for
4 papers · 2 filters
Enhancing Reinforcement Learning Through Guided Search
Jérôme Arjonilla, Abdallah Saffidine, Tristan Cazenave
With the aim of improving performance in Markov Decision Problem in an Off-Policy setting, we suggest taking inspiration from what is done in Offline Reinforcement Learning (RL). I…
Perfect Information Monte Carlo with Postponing Reasoning
Jérôme Arjonilla, Abdallah Saffidine, Tristan Cazenave
Imperfect information games, such as Bridge and Skat, present challenges due to state-space explosion and hidden information, posing formidable obstacles for search algorithms. Det…
Mixture of Public and Private Distributions in Imperfect Information Games
Jérôme Arjonilla, Abdallah Saffidine, Tristan Cazenave
In imperfect information games (e.g. Bridge, Skat, Poker), one of the fundamental considerations is to infer the missing information while at the same time avoiding the disclosure…
Deep Reinforcement Learning for 5*5 Multiplayer Go
Brahim Driss, Jérôme Arjonilla, Hui Wang +2
In recent years, much progress has been made in computer Go and most of the results have been obtained thanks to search algorithms (Monte Carlo Tree Search) and Deep Reinforcement…