Zeb Kurth-Nelson

19 papers A* 2B 2Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Increasing happiness through conversations with artificial intelligence. CoRR Joseph Heffner, Chongyu Qin, Martin J. Chadwick, Chris Knutsen, Christopher Summerfield, Zeb Kurth-Nelson, Robb B. Rutledge
2025	J	`jnl`	Technological folie à deux: Feedback Loops Between AI Chatbots and Mental Illness. CoRR Sebastian Dohnány, Zeb Kurth-Nelson, Eleanor Spens, Lennart Luettgau, Alastair Reid, Iason Gabriel, Christopher Summerfield, Murray Shanahan, Matthew M. Nour
2024	J	`jnl`	The Ethics of Advanced AI Assistants. CoRR Iason Gabriel, Arianna Manzini, Geoff Keeling, Lisa Anne Hendricks, Verena Rieser, Hasan Iqbal, Nenad Tomasev, Ira Ktena, Zachary Kenton, Mikel Rodriguez, Seliem El-Sayed, Sasha Brown, Canfer Akbulut, Andrew Trask, Edward Hughes, A. Stevie Bergman, Renee Shelby, Nahema Marchal, Conor Griffin, Juan Mateos-Garcia, Laura Weidinger, Winnie Street, Benjamin Lange, Alex Ingerman, Alison Lentz, Reed Enger, Andrew Barakat, Victoria Krakovna, John Oliver Siy, Zeb Kurth-Nelson, Amanda McCroskery, Vijay Bolina, Harry Law, Murray Shanahan, Lize Alberts, Borja Balle, Sarah de Haas, Yetunde Ibitoye, Allan Dafoe, Beth Goldberg, Sébastien Krier, Alexander Reese, Sims Witherspoon, Will Hawkins, Maribeth Rauh, Don Wallace, Matija Franklin, Josh A. Goldstein, Joel Lehman, Michael Klenk, Shannon Vallor, Courtney Biles, Meredith Ringel Morris, Helen King, Blaise Agüera y Arcas, William Isaac, James Manyika
2023	A*	`conf`	Cognitive Model Discovery via Disentangled RNNs. NeurIPS Kevin J. Miller, Maria K. Eckstein, Matt M. Botvinick, Zeb Kurth-Nelson
2021	—	`conf`	Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents. NeurIPS Datasets and Benchmarks Jane Wang, Michael King, Nicolas Porcel, Zeb Kurth-Nelson, Tina Zhu, Charles Deck, Peter Choy, Mary Cassin, Malcolm Reynolds, H. Francis Song, Gavin Buttimore, David P. Reichert, Neil C. Rabinowitz, Loic Matthey, Demis Hassabis, Alexander Lerchner, Matt M. Botvinick
2021	J	`jnl`	Alchemy: A structured task distribution for meta-reinforcement learning. CoRR Jane X. Wang, Michael King, Nicolas Porcel, Zeb Kurth-Nelson, Tina Zhu, Charlie Deck, Peter Choy, Mary Cassin, Malcolm Reynolds, H. Francis Song, Gavin Buttimore, David P. Reichert, Neil C. Rabinowitz, Loic Matthey, Demis Hassabis, Alexander Lerchner, Matthew M. Botvinick
2021	J	`jnl`	How to Learn and Represent Abstractions: An Investigation using Symbolic Alchemy. CoRR Badr AlKhamissi, Akshay Srinivasan, Zeb Kurth-Nelson, Sam Ritter
2020	J	`jnl`	A distributional code for value in dopamine-based reinforcement learning. Nat. Will Dabney, Zeb Kurth-Nelson, Naoshige Uchida, Clara Kwon Starkweather, Demis Hassabis, Rémi Munos, Matthew M. Botvinick
2020	J	`jnl`	Deep Reinforcement Learning and its Neuroscientific Implications. CoRR Matthew M. Botvinick, Jane X. Wang, Will Dabney, Kevin J. Miller, Zeb Kurth-Nelson
2019	J	`jnl`	Causal Reasoning from Meta-reinforcement Learning. CoRR Ishita Dasgupta, Jane X. Wang, Silvia Chiappa, Jovana Mitrovic, Pedro A. Ortega, David Raposo, Edward Hughes, Peter W. Battaglia, Matthew M. Botvinick, Zeb Kurth-Nelson
2019	J	`jnl`	Meta-learning of Sequential Strategies. CoRR Pedro A. Ortega, Jane X. Wang, Mark Rowland, Tim Genewein, Zeb Kurth-Nelson, Razvan Pascanu, Nicolas Heess, Joel Veness, Alexander Pritzel, Pablo Sprechmann, Siddhant M. Jayakumar, Tom McGrath, Kevin J. Miller, Mohammad Gheshlaghi Azar, Ian Osband, Neil C. Rabinowitz, András György, Silvia Chiappa, Simon Osindero, Yee Whye Teh, Hado van Hasselt, Nando de Freitas, Matthew M. Botvinick, Shane Legg
2018	A*	`conf`	Been There, Done That: Meta-Learning with Episodic Recall. ICML Samuel Ritter, Jane X. Wang, Zeb Kurth-Nelson, Siddhant M. Jayakumar, Charles Blundell, Razvan Pascanu, Matthew M. Botvinick
2018	J	`jnl`	Been There, Done That: Meta-Learning with Episodic Recall. CoRR Samuel Ritter, Jane X. Wang, Zeb Kurth-Nelson, Siddhant M. Jayakumar, Charles Blundell, Razvan Pascanu, Matthew M. Botvinick
2018	B	`conf`	Episodic Control through Meta-Reinforcement Learning. CogSci Samuel Ritter, Jane X. Wang, Zeb Kurth-Nelson, Matthew M. Botvinick
2017	B	`conf`	Learning to reinforcement learn. CogSci Jane Wang, Zeb Kurth-Nelson, Hubert Soyer, Joel Z. Leibo, Dhruva Tirumala, Rémi Munos, Charles Blundell, Dharshan Kumaran, Matt M. Botvinick
2017	J	`jnl`	Local striatal reward signals can be predicted from corticostriatal connectivity. NeuroImage Peter Smittenaar, Zeb Kurth-Nelson, Siawoosh Mohammadi, Nikolaus Weiskopf, Raymond J. Dolan
2016	J	`jnl`	Learning to reinforcement learn. CoRR Jane X. Wang, Zeb Kurth-Nelson, Dhruva Tirumala, Hubert Soyer, Joel Z. Leibo, Rémi Munos, Charles Blundell, Dharshan Kumaran, Matthew M. Botvinick
2015	J	`jnl`	Arbitration between controlled and impulsive choices. NeuroImage Marcos Economides, Marc Guitart-Masip, Zeb Kurth-Nelson, Raymond J. Dolan
2015	J	`jnl`	Model-Based Reasoning in Humans Becomes Automatic with Training. PLoS Comput. Biol. Marcos Economides, Zeb Kurth-Nelson, Annika Lübbert, Marc Guitart-Masip, Raymond J. Dolan