no code implementations • 11 Apr 2024 • Yuwei Sun, Ippei Fujisawa, Arthur Juliani, Jun Sakuma, Ryota Kanai
Neural networks encounter the challenge of Catastrophic Forgetting (CF) in continual learning, where new task knowledge interferes with previously learned knowledge.
no code implementations • 2 Mar 2023 • Stephanie Milani, Arthur Juliani, Ida Momennejad, Raluca Georgescu, Jaroslaw Rzpecki, Alison Shaw, Gavin Costello, Fei Fang, Sam Devlin, Katja Hofmann
We aim to understand how people assess human likeness in navigation produced by people and artificially intelligent (AI) agents in a video game.
no code implementations • 16 Sep 2022 • Arthur Juliani, Margaret Sereno
The medial temporal lobe (MTL), a brain region containing the hippocampus and nearby areas, is hypothesized to be an experience-construction system in mammals, supporting both recall and imagination of temporally-extended sequences of events.
1 code implementation • 6 Jun 2022 • Arthur Juliani, Samuel Barnett, Brandon Davis, Margaret Sereno, Ida Momennejad
On the other hand, artificial intelligence researchers often struggle to find benchmarks for neurally and biologically plausible representation and behavior (e. g., in decision making or navigation).
no code implementations • 24 Mar 2022 • Arthur Juliani, Kai Arulkumaran, Shuntaro Sasai, Ryota Kanai
In popular media, there is often a connection drawn between the advent of awareness in artificial agents and those same agents simultaneously achieving human or superhuman level intelligence.
3 code implementations • 4 Feb 2019 • Arthur Juliani, Ahmed Khalifa, Vincent-Pierre Berges, Jonathan Harper, Ervin Teng, Hunter Henry, Adam Crespi, Julian Togelius, Danny Lange
Unlike other benchmarks such as the Arcade Learning Environment, evaluation of agent performance in Obstacle Tower is based on an agent's ability to perform well on unseen instances of the environment.
56 code implementations • 7 Sep 2018 • Arthur Juliani, Vincent-Pierre Berges, Ervin Teng, Andrew Cohen, Jonathan Harper, Chris Elion, Chris Goy, Yuan Gao, Hunter Henry, Marwan Mattar, Danny Lange
Recent advances in artificial intelligence have been driven by the presence of increasingly realistic and complex simulated environments.