Modeling Risk in Reinforcement Learning: A Literature Mapping

no code implementations • 8 Dec 2023 • Leonardo Villalobos-Arias, Derek Martin, Abhijeet Krishnan, Madeleine Gagné, Colin M. Potts, Arnav Jhala

Our literature mapping covers literature from the last 5 years (2017-2022), from a variety of knowledge areas (AI, finance, engineering, medicine) where RL approaches emphasize risk representation and management.

Management reinforcement-learning +2

Towards Action Model Learning for Player Modeling

1 code implementation • 9 Mar 2021 • Abhijeet Krishnan, Aaron Williams, Chris Martens

In this paper, we present our findings with using action model learning (AML), in which an action model is learned given data in the form of a play trace, to learn a player model in a domain-agnostic manner.