7 citations · 21 across the 18 of their papers we have counts for
4 papers · 1 filter
Colour versus Shape Goal Misgeneralization in Reinforcement Learning: A Case Study
Karolis Ramanauskas, Özgür Şimşek
We explore colour versus shape goal misgeneralization originally demonstrated by Di Langosco et al. (2022) in the Procgen Maze environment, where, given an ambiguous choice, the ag…
Explaining Reinforcement Learning with Shapley Values
Daniel Beechey, Thomas M. S. Smith, Özgür Şimşek
For reinforcement learning systems to be widely adopted, their users must understand and trust them. We present a theoretical analysis of explaining reinforcement learning using Sh…
Creating Multi-Level Skill Hierarchies in Reinforcement Learning
Joshua B. Evans, Özgür Şimşek
What is a useful skill hierarchy for an autonomous agent? We propose an answer based on a graphical representation of how the interaction between an agent and its environment may u…
Resource-Constrained Station-Keeping for Helium Balloons using Reinforcement Learning
Jack Saunders, Loïc Prenevost, Özgür Şimşek +2
High altitude balloons have proved useful for ecological aerial surveys, atmospheric monitoring, and communication relays. However, due to weight and power constraints, there is a…