159 citations · 183 across the 5 of their papers we have counts for
12 papers
The Second Type of Uncertainty in Monte Carlo Tree Search
Thomas M Moerland, Joost Broekens, Aske Plaat +1
Monte Carlo Tree Search (MCTS) efficiently balances exploration and exploitation in tree search based on count-derived uncertainty. However, these local visit counts ignore a secon…
Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement Learning
Thomas M. Moerland, Anna Deichler, Simone Baldi +2
Planning and reinforcement learning are two key approaches to sequential decision making. Multi-step approximate real-time dynamic programming, a recently successful algorithm clas…
Automated Configuration of Negotiation Strategies
Bram M. Renting, Holger H. Hoos, Catholijn M. Jonker
Bidding and acceptance strategies have a substantial impact on the outcome of negotiations in scenarios with linear additive and nonlinear utility functions. Over the years, it has…
Towards Agent-based Models of Rumours in Organizations: A Social Practice Theory Approach
Amir Ebrahimi Fard, Rijk Mercuur, Virginia Dignum +2
Rumour is a collective emergent phenomenon with a potential for provoking a crisis. Modelling approaches have been deployed since five decades ago; however, the focus was mostly on…
Modelling Agents Endowed with Social Practices: Static Aspects
Rijk Mercuur, Virginia Dignum, Catholijn M. Jonker
To understand societal phenomena through simulation, we need computational variants of socio-cognitive theories. Social Practice Theory has provided a unique understanding of socia…
Efficient exploration with Double Uncertain Value Networks
Thomas M. Moerland, Joost Broekens, Catholijn M. Jonker
This paper studies directed exploration for reinforcement learning agents by tracking uncertainty about the value of each available action. We identify two sources of uncertainty t…