3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Intrinsic Rewards for Exploration without Harm from Observational Noise: A Simulation Study Based on the Free Energy Principle
Theodore Jerome Tinker, Kenji Doya, Jun Tani
In Reinforcement Learning (RL), artificial agents are trained to maximize numerical rewards by performing tasks. Exploration is essential in RL because agents must discover informa…
cs.LG2023★ 3 cited
Habits and goals in synergy: a variational Bayesian framework for behavior
Dongqi Han, Kenji Doya, Dongsheng Li +1
How to behave efficiently and flexibly is a central problem for understanding biological agents and creating intelligent embodied AI. It has been well known that behavior can be cl…