Max Kleiman-Weiner

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 45

Top Topics

Formal Definitions

Utility Maximization

Social Learning

Top Venues

Publications

Frieda Rong, Max Kleiman-Weiner
Value Internalization: Learning and Generalizing from Social Reward. CoRR (2024)
Zhijing Jin, Sydney Levine, Max Kleiman-Weiner, Giorgio Piatti, Jiarui Liu, Fernando Gonzalez Adauto, Francesco Ortu, András Strausz, Mrinmaya Sachan, Rada Mihalcea, Yejin Choi, Bernhard Schölkopf
Multilingual Trolley Problems for Language Models. CoRR (2024)
Giorgio Piatti, Zhijing Jin, Max Kleiman-Weiner, Bernhard Schölkopf, Mrinmaya Sachan, Rada Mihalcea
Cooperate or Collapse: Emergence of Sustainability Behaviors in a Society of LLM Agents. CoRR (2024)
Edmond Awad, Sydney Levine, Andrea Loreggia, Nicholas Mattei, Iyad Rahwan, Francesca Rossi, Kartik Talamadupula, Joshua B. Tenenbaum, Max Kleiman-Weiner
When is it acceptable to break the rules? Knowledge representation of moral judgements based on empirical data. Auton. Agents Multi Agent Syst. 38 (2) (2024)
Chris Graziul, Alexander Belikov, Ishanu Chattopadhyay, Ziwen Chen, Hongbo Fang, Anuraag Girdhar, Xiaoshuang Jia, P. M. Krafft, Max Kleiman-Weiner, Candice Lewis, Chen Liang, John Muchovej, Alejandro Vientós, Meg Young, James A. Evans
Does big data serve policy? Not without context. An experiment with in silico social science. Comput. Math. Organ. Theory 29 (1) (2023)
Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez Adauto, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf
CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models. CoRR (2023)
Mingwei Ma, Jizhou Liu, Samuel Sokota, Max Kleiman-Weiner, Jakob Nicolaus Foerster
Learning Intuitive Policies Using Action Features. ICML (2023)
Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez Adauto, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf
CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models. NeurIPS (2023)
Mingwei Ma, Jizhou Liu, Samuel Sokota, Max Kleiman-Weiner, Jakob N. Foerster
Learning to Coordinate with Humans using Action Features. CoRR (2022)
Stephanie Stacy, Aishni Parab, Max Kleiman-Weiner, Tao Gao
Overloaded Communication as Paternalistic Helping. CogSci (2022)
Edmond Awad, Sydney Levine, Andrea Loreggia, Nicholas Mattei, Iyad Rahwan, Francesca Rossi, Kartik Talamadupula, Joshua B. Tenenbaum, Max Kleiman-Weiner
When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data. CoRR (2022)
Stephanie Stacy, Chenfei Li, Minglu Zhao, Yiling Yun, Qingyi Zhao, Max Kleiman-Weiner, Tao Gao
Modeling Communication to Coordinate Perspectives in Cooperation. CoRR (2021)
Stephanie Stacy, Chenfei Li, Minglu Zhao, Yiling Yun, Qingyi Zhao, Max Kleiman-Weiner, Tao Gao
Modeling Communication to Coordinate Perspectives in Cooperation. CogSci (2021)
Sarah A. Wu, Rose E. Wang, James A. Evans, Joshua B. Tenenbaum, David C. Parkes, Max Kleiman-Weiner
Too Many Cooks: Bayesian Inference for Coordinating Multi-Agent Collaboration. Top. Cogn. Sci. 13 (2) (2021)
Suhyoun Yu, Marta Kryven, Josh Tenenbaum, Max Kleiman-Weiner
Unpacking the computations of human spatial search under uncertainty: noisy utility maximization, discounting, and probability warping. CogSci (2021)
Rose E. Wang, Sarah A. Wu, James A. Evans, Joshua B. Tenenbaum, David C. Parkes, Max Kleiman-Weiner
Too many cooks: Coordinating multi-agent collaboration through inverse planning. CoRR (2020)
Rose E. Wang, Sarah A. Wu, James A. Evans, Joshua B. Tenenbaum, David C. Parkes, Max Kleiman-Weiner
Too Many Cooks: Coordinating Multi-agent Collaboration Through Inverse Planning. AAMAS (2020)
Max Kleiman-Weiner, Felix Sosa, Bill Thompson, Sebastiaan van Opheusden, Tom Griffiths, Samuel Gershman, Fiery Cushman
Downloading Culture.zip: Social learning by program induction. CogSci (2020)
Anirban Lahiri, Utanko Mitra, Sunreeta Sen, Mreenal Chakraborty, Max Kleiman-Weiner, Rajlakshmi Guha, Pabitra Mitra, Anupam Basu, Partha Pratim Chakraborty
Antarjami: Exploring psychometric evaluation through a computer-based game. CogSci (2020)
Stephanie Stacy, Qingyi Zhao, Minglu Zhao, Max Kleiman-Weiner, Tao Gao
Intuitive Signaling Through an "Imagined We'". CogSci (2020)
Anirban Lahiri, Utanko Mitra, Sunreeta Sen, Mrinal Chakraborty, Max Kleiman-Weiner, Rajlakshmi Guha, Pabitra Mitra, Anupam Basu, Partha Pratim Chakraborty
Antarjami: Exploring psychometric evaluation through a computer-based game. CoRR (2020)
Sarah A. Wu, Rose E. Wang, James A. Evans, Josh Tenenbaum, David C. Parkes, Max Kleiman-Weiner
Too many cooks: Coordinating multi-agent collaboration through inverse planning. CogSci (2020)
Jack Serrino, Max Kleiman-Weiner, David C. Parkes, Josh Tenenbaum
Finding Friend and Foe in Multi-Agent Games. NeurIPS (2019)
Michael Shum, Max Kleiman-Weiner, Michael L. Littman, Joshua B. Tenenbaum
Theory of Minds: Understanding Behavior in Groups Through Inverse Planning. CoRR (2019)
Jack Serrino, Max Kleiman-Weiner, David C. Parkes, Joshua B. Tenenbaum
Finding Friend and Foe in Multi-Agent Games. CoRR (2019)
Michael Shum, Max Kleiman-Weiner, Michael L. Littman, Joshua B. Tenenbaum
Theory of Minds: Understanding Behavior in Groups through Inverse Planning. AAAI (2019)
Sean D. Houlihan, Max Kleiman-Weiner, Josh Tenenbaum, Rebecca Saxe
Emotion attributions echo the structure of people's intuitive theory of psychology. CogSci (2019)
Sydney Levine, Max Kleiman-Weiner, Laura Schulz, Josh Tenenbaum, Fiery Cushman
What if everybody did that?: Universalization as a mechanism of moral decision-making. CogSci (2019)
Max Kleiman-Weiner, Felix Sosa, Samuel Gershman, Fiery Cushman
Downloading Culture.zip: Social learning by program induction with execution traces. CogSci (2019)
Richard Kim, Max Kleiman-Weiner, Andrés Abeliuk, Edmond Awad, Sohan Dsouza, Joshua B. Tenenbaum, Iyad Rahwan
A Computational Model of Commonsense Moral Decision Making. AIES (2018)
Daniel Strouse, Max Kleiman-Weiner, Josh Tenenbaum, Matthew Botvinick, David J. Schwab
Learning to Share and Hide Intentions using Information Regularization. NeurIPS (2018)
DJ Strouse, Max Kleiman-Weiner, Josh Tenenbaum, Matthew Botvinick, David J. Schwab
Learning to Share and Hide Intentions using Information Regularization. CoRR (2018)
Sean D. Houlihan, Max Kleiman-Weiner, Josh Tenenbaum, Rebecca Saxe
A generative model of people's intuitive theory of emotions: inverse planning in rich social games. CogSci (2018)
Richard Kim, Niccolo Pescetelli, Max Kleiman-Weiner, Edmond Awad, Sohan Dsouza, Josh Tenenbaum, Iyad Rahwan
Hierarchical Drift-Diffusion Model for Moral Dilemma: Understanding Reaction Times and Choices. CogSci (2018)
Richard Kim, Max Kleiman-Weiner, Andrés Abeliuk, Edmond Awad, Sohan Dsouza, Josh Tenenbaum, Iyad Rahwan
A Computational Model of Commonsense Moral Decision Making. CoRR (2018)
Edmond Awad, Sydney Levine, Max Kleiman-Weiner, Sohan Dsouza, Joshua B. Tenenbaum, Azim Shariff, Jean-François Bonnefon, Iyad Rahwan
Blaming humans in autonomous vehicle accidents: Shared responsibility across levels of automation. CoRR (2018)
Sydney Levine, Max Kleiman-Weiner, Nicholas Chater, Fiery Cushman, Josh Tenenbaum
The Cognitive Mechanisms of Contractualist Moral Decision-Making. CogSci (2018)
Joseph Y. Halpern, Max Kleiman-Weiner
Towards Formal Definitions of Blameworthiness, Intention, and Moral Responsibility. CoRR (2018)
Max Kleiman-Weiner, Alejandro Vientós, David Rand, Josh Tenenbaum
The Evolution of Cooperation in Cognitively Flexible Agents. CogSci (2018)
Joseph Y. Halpern, Max Kleiman-Weiner
Towards Formal Definitions of Blameworthiness, Intention, and Moral Responsibility. AAAI (2018)
Max Kleiman-Weiner, Alex Shaw, Josh Tenenbaum
Constructing Social Preferences From Anticipated Judgments: When Impartial Inequity is Fair and Why? CogSci (2017)
Max Kleiman-Weiner, Yibiao Zhao, Josh Tenenbaum
Cooperative Social Intelligence: Understanding and Acting with Other. CogSci (2017)
Julia A. Leonard, Max Kleiman-Weiner, Yuna Lee, Josh Tenenbaum, Laura Schulz
Preschoolers and Infants Calibrate Persistence from Adult Models. CogSci (2017)
Mark K. Ho, James MacGlashan, Amy Greenwald, Michael L. Littman, Elizabeth Hilliard, Carl Trimbach, Stephen Brawner, Josh Tenenbaum, Max Kleiman-Weiner, Joseph L. Austerweil
Feature-based Joint Planning and Norm Learning in Collaborative Games. CogSci (2016)
Max Kleiman-Weiner, Mark K. Ho, Joseph L. Austerweil, Michael L. Littman, Josh Tenenbaum
Coordinate to cooperate or compete: Abstract goals and joint intentions in social interaction. CogSci (2016)
Kelsey R. Allen, Julian Jara-Ettinger, Tobias Gerstenberg, Max Kleiman-Weiner, Joshua B. Tenenbaum
Go fishing! Responsibility judgments when cooperation breaks down. CogSci (2015)
Max Kleiman-Weiner, Tobias Gerstenberg, Sydney Levine, Joshua B. Tenenbaum
Inference of Intention and Permissibility in Moral Decision Making. CogSci (2015)
John R. Frank, Max Kleiman-Weiner, Daniel A. Roberts, Ellen M. Voorhees, Ian Soboroff
Evaluating Stream Filtering for Entity Profile Updates in TREC 2012, 2013, and 2014. TREC (2014)
Tobias Gerstenberg, Tomer Ullman, Max Kleiman-Weiner, David A. Lagnado, Joshua B. Tenenbaum
Wins above replacement: Responsibility attributions as counterfactual replacements. CogSci (2014)
John R. Frank, Steven J. Bauer, Max Kleiman-Weiner, Daniel A. Roberts, Nilesh Tripuraneni, Ce Zhang, Christopher Ré, Ellen M. Voorhees, Ian Soboroff
Evaluating Stream Filtering for Entity Profile Updates for TREC 2013. TREC (2013)
John R. Frank, Max Kleiman-Weiner, Daniel A. Roberts, Feng Niu, Ce Zhang, Christopher Ré, Ian Soboroff
Building an Entity-Centric Stream Filtering Test Collection for TREC 2012. TREC (2012)