398 citations · 1.8k across the 163 of their papers we have counts for
4 papers · 2 filters
Reducing Planning Complexity of General Reinforcement Learning with Non-Markovian Abstractions
Sultan J. Majeed, Marcus Hutter
The field of General Reinforcement Learning (GRL) formulates the problem of sequential decision-making from ground up. The history of interaction constitutes a "ground" state of th…
Reward-Punishment Symmetric Universal Intelligence
Samuel Allen Alexander, Marcus Hutter
Can an agent's intelligence level be negative? We extend the Legg-Hutter agent-environment framework to include punishments and argue for an affirmative answer to that question. We…
Reinforcement Learning with Information-Theoretic Actuation
Elliot Catt, Marcus Hutter, Joel Veness
Reinforcement Learning formalises an embodied agent's interaction with the environment through observations, rewards and actions. But where do the actions come from? Actions are of…
Intelligence and Unambitiousness Using Algorithmic Information Theory
Michael K. Cohen, Badri Vellambi, Marcus Hutter
Algorithmic Information Theory has inspired intractable constructions of general intelligence (AGI), and undiscovered tractable approximations are likely feasible. Reinforcement Le…