DJ Strouse - RankMe

23 papers A* 6A 1Journal 16

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Confronting Reward Model Overoptimization with Constrained RLHF. ICLR Ted Moskovitz, Aaditya K. Singh, DJ Strouse, Tuomas Sandholm, Ruslan Salakhutdinov, Anca D. Dragan, Stephen Marcus McAleer
2024	J	`jnl`	HARP: A challenging human-annotated math reasoning benchmark. CoRR Albert S. Yue, Lovish Madaan, Ted Moskovitz, DJ Strouse, Aaditya K. Singh
2024	J	`jnl`	Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs. CoRR Aaditya K. Singh, DJ Strouse
2023	J	`jnl`	Confronting Reward Model Overoptimization with Constrained RLHF. CoRR Ted Moskovitz, Aaditya K. Singh, DJ Strouse, Tuomas Sandholm, Ruslan Salakhutdinov, Anca D. Dragan, Stephen McAleer
2023	A*	`conf`	In-context Reinforcement Learning with Algorithm Distillation. ICLR Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Stenberg Hansen, Angelos Filos, Ethan Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih
2022	J	`jnl`	In-context Reinforcement Learning with Algorithm Distillation. CoRR Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Hansen, Angelos Filos, Ethan Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih
2022	A*	`conf`	Learning more skills through optimistic exploration. ICLR DJ Strouse, Kate Baumli, David Warde-Farley, Volodymyr Mnih, Steven Stenberg Hansen
2022	J	`jnl`	Melting Pot 2.0. CoRR John P. Agapiou, Alexander Sasha Vezhnevets, Edgar A. Duéñez-Guzmán, Jayd Matyas, Yiran Mao, Peter Sunehag, Raphael Köster, Udari Madhushani, Kavya Kopparapu, Ramona Comanescu, DJ Strouse, Michael Bradley Johanson, Sukhdeep Singh, Julia Haas, Igor Mordatch, Dean Mobbs, Joel Z. Leibo
2022	A*	`conf`	Semantic Exploration from Language Abstractions and Pretrained Representations. NeurIPS Allison C. Tam, Neil C. Rabinowitz, Andrew K. Lampinen, Nicholas A. Roy, Stephanie C. Y. Chan, DJ Strouse, Jane Wang, Andrea Banino, Felix Hill
2022	J	`jnl`	Semantic Exploration from Language Abstractions and Pretrained Representations. CoRR Allison C. Tam, Neil C. Rabinowitz, Andrew K. Lampinen, Nicholas A. Roy, Stephanie C. Y. Chan, DJ Strouse, Jane X. Wang, Andrea Banino, Felix Hill
2021	A*	`conf`	Collaborating with Humans without Human Data. NeurIPS DJ Strouse, Kevin R. McKee, Matt M. Botvinick, Edward Hughes, Richard Everett
2021	J	`jnl`	Collaborating with Humans without Human Data. CoRR DJ Strouse, Kevin R. McKee, Matt M. Botvinick, Edward Hughes, Richard Everett
2021	J	`jnl`	Learning more skills through optimistic exploration. CoRR DJ Strouse, Kate Baumli, David Warde-Farley, Vlad Mnih, Steven Hansen
2019	J	`jnl`	A Neural Architecture for Designing Truthful and Efficient Auctions. CoRR Andrea Tacchetti, DJ Strouse, Marta Garnelo, Thore Graepel, Yoram Bachrach
2019	J	`jnl`	How Dendrites Affect Online Recognition Memory. PLoS Comput. Biol. Xundong Wu, Gabriel C. Mel, DJ Strouse, Bartlett W. Mel
2019	A*	`conf`	Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning. ICML Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Çaglar Gülçehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas
2019	J	`jnl`	The Information Bottleneck and Geometric Clustering. Neural Comput. DJ Strouse, David J. Schwab
2018	J	`jnl`	Intrinsic Social Motivation via Causal Influence in Multi-Agent RL. CoRR Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Çaglar Gülçehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas
2018	J	`jnl`	Learning to Share and Hide Intentions using Information Regularization. CoRR DJ Strouse, Max Kleiman-Weiner, Josh Tenenbaum, Matthew M. Botvinick, David J. Schwab
2017	J	`jnl`	The Deterministic Information Bottleneck. Neural Comput. DJ Strouse, David J. Schwab
2017	J	`jnl`	The information bottleneck and geometric clustering. CoRR DJ Strouse, David J. Schwab
2016	A	`conf`	The Deterministic Information Bottleneck. UAI DJ Strouse, David J. Schwab
2016	J	`jnl`	The deterministic information bottleneck. CoRR DJ Strouse, David J. Schwab