PhD student in the Human Reinforcement Learning team
Laboratoire de Neurosciences Cognitives Computationnelles
Ecole Normale Supérieure (ENS), Paris, France
📍 Aug 12, 1:30–4:30pm
We show that experiential value neglect (Garcia et al., 2023) is robust to changes in how options and outcomes are represented. Also, people show reduced sensitivity to losses, especially in comparative decision-making.
📍 Aug 12, 1:30–4:30pm
We show that experiential value neglect (Garcia et al., 2023) is robust to changes in how options and outcomes are represented. Also, people show reduced sensitivity to losses, especially in comparative decision-making.
Si vous souhaitez vous y opposer, c’est possible ! Voici la démarche simple (étape par étape) à faire avant cette date butoir ⤵️
Si vous souhaitez vous y opposer, c’est possible ! Voici la démarche simple (étape par étape) à faire avant cette date butoir ⤵️
Performance of standard reinforcement learning (RL) algorithms depends on the scale of the rewards they aim to maximize.
Inspired by human cognitive processes, we leverage a cognitive bias to develop scale-invariant RL algorithms: reward range normalization.
Curious? Have a read!👇
Performance of standard reinforcement learning (RL) algorithms depends on the scale of the rewards they aim to maximize.
Inspired by human cognitive processes, we leverage a cognitive bias to develop scale-invariant RL algorithms: reward range normalization.
Curious? Have a read!👇