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ORCIDRichard L. Lewis
Person information
- affiliation: University of Michigan, Department of Psychology
- affiliation: Ohio State University, College of Engineering
- affiliation: Princeton University, Department of Psychology
- affiliation: Carnegie Mellon University, School of Computer Science
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Journal Articles
- 2016
[j10]Andrew Howes
, Geoffrey B. Duggan, Kiran Kalidindi, Yuan-Chi Tseng, Richard L. Lewis:
Predicting Short-Term Remembering as Boundedly Optimal Strategy Choice. Cogn. Sci. 40(5): 1192-1223 (2016)- 2014
- [j9]Bingyao Liu, Satinder Singh, Richard L. Lewis, Shiyin Qin:
Optimal Rewards for Cooperative Agents. IEEE Trans. Auton. Ment. Dev. 6(4): 286-297 (2014) - [j8]Andrew Howes, Richard L. Lewis, Satinder Singh:
Utility Maximization and Bounds on Human Information Processing. Top. Cogn. Sci. 6(2): 198-203 (2014) - [j7]Richard L. Lewis, Andrew Howes, Satinder Singh:
Computational Rationality: Linking Mechanism and Behavior Through Bounded Utility Maximization. Top. Cogn. Sci. 6(2): 279-311 (2014) - 2013
- [j6]Richard L. Lewis, Michael Shvartsman, Satinder Singh:
The Adaptive Nature of Eye Movements in Linguistic Tasks: How Payoff and Architecture Shape Speed-Accuracy Trade-Offs. Top. Cogn. Sci. 5(3): 581-610 (2013) - 2010
- [j5]Satinder Singh, Richard L. Lewis, Andrew G. Barto, Jonathan Sorg:
Intrinsically Motivated Reinforcement Learning: An Evolutionary Perspective. IEEE Trans. Auton. Ment. Dev. 2(2): 70-82 (2010) - 2009
- [j4]Robert P. Marinier III, John E. Laird, Richard L. Lewis:
A computational unification of cognitive behavior and emotion. Cogn. Syst. Res. 10(1): 48-69 (2009) - 2008
- [j3]Shravan Vasishth, Sven Brüssow, Richard L. Lewis, Heiner Drenhaus:
Processing Polarity: How the Ungrammatical Intrudes on the Grammatical. Cogn. Sci. 32(4): 685-712 (2008) - 2005
- [j2]Richard L. Lewis, Shravan Vasishth:
An Activation-Based Model of Sentence Processing as Skilled Memory Retrieval. Cogn. Sci. 29(3): 375-419 (2005) - 1993
- [j1]David M. Steier, Richard L. Lewis, Jill Fain Lehman, Anna L. Zacherl:
Combining Multiple Knowledge Sources in an Integrated Intelligent System. IEEE Expert 8(3): 35-44 (1993)
Conference and Workshop Papers
- 2023
- [c35]Xiaoyang Hu, Shane Storks, Richard L. Lewis, Joyce Chai:
In-Context Analogical Reasoning with Pre-Trained Language Models. ACL (1) 2023: 1953-1969 - [c34]Wilka Carvalho, Angelos Filos, Richard L. Lewis, Honglak Lee, Satinder Singh:
Composing Task Knowledge With Modular Successor Feature Approximators. ICLR 2023 - [c33]Ethan A. Brooks, Logan Walls, Richard L. Lewis, Satinder Singh:
Large Language Models can Implement Policy Iteration. NeurIPS 2023 - [c32]Wilka Carvalho, Andre Saraiva, Angelos Filos, Andrew K. Lampinen, Loic Matthey, Richard L. Lewis, Honglak Lee, Satinder Singh, Danilo Jimenez Rezende, Daniel Zoran:
Combining Behaviors with the Successor Features Keyboard. NeurIPS 2023 - 2022
- [c31]Zeyu Zheng, Risto Vuorio, Richard L. Lewis, Satinder Singh:
Adaptive Pairwise Weights for Temporal Credit Assignment. AAAI 2022: 9225-9232 - 2021
- [c30]Soo-Hyun Ryu, Richard L. Lewis:
Accounting for Agreement Phenomena in Sentence Comprehension with Transformer Language Models: Effects of Similarity-based Interference on Surprisal and Attention. CMLS 2021: 61-71 - [c29]Ethan A. Brooks, Janarthanan Rajendran, Richard L. Lewis, Satinder Singh:
Reinforcement Learning of Implicit and Explicit Control Flow Instructions. ICML 2021: 1082-1091 - [c28]Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard L. Lewis, Satinder Singh:
Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment. IJCAI 2021: 2219-2226 - [c27]Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard L. Lewis, Satinder Singh:
Learning State Representations from Random Deep Action-conditional Predictions. NeurIPS 2021: 23679-23691 - 2020
- [c26]Janarthanan Rajendran, Richard L. Lewis, Vivek Veeriah, Honglak Lee, Satinder Singh:
How Should an Agent Practice? AAAI 2020: 5454-5461 - 2019
- [c25]Qi Zhang, Richard L. Lewis, Satinder Singh, Edmund H. Durfee:
Learning to Communicate and Solve Visual Blocks-World Tasks. AAAI 2019: 5781-5788 - [c24]Vivek Veeriah, Matteo Hessel, Zhongwen Xu, Janarthanan Rajendran, Richard L. Lewis, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh:
Discovery of Useful Questions as Auxiliary Tasks. NeurIPS 2019: 9306-9317 - 2018
- [c23]Pyeong Whan Cho, Matthew Goldrick, Richard L. Lewis, Paul Smolensky:
Dynamic encoding of structural uncertainty in gradient symbols. CMCL 2018: 19-28 - 2017
- [c22]Aditya Acharya, Xiuli Chen, Christopher W. Myers, Richard L. Lewis, Andrew Howes:
Human Visual Search as a Deep Reinforcement Learning Solution to a POMDP. CogSci 2017 - 2016
- [c21]Xiaoxiao Guo, Satinder Singh, Richard L. Lewis, Honglak Lee:
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games. IJCAI 2016: 1519-1525 - [c20]Nan Jiang, Alex Kulesza, Satinder Singh, Richard L. Lewis:
The Dependence of Effective Planning Horizon on Model Accuracy. IJCAI 2016: 4180-4189 - 2015
- [c19]Nan Jiang, Alex Kulesza, Satinder Singh, Richard L. Lewis:
The Dependence of Effective Planning Horizon on Model Accuracy. AAMAS 2015: 1181-1189 - [c18]Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, Richard L. Lewis, Satinder Singh:
Action-Conditional Video Prediction using Deep Networks in Atari Games. NIPS 2015: 2863-2871 - 2014
- [c17]Michael Shvartsman, Richard L. Lewis, Satinder Singh:
Computationally Rational Saccadic Control: An Explanation of Spillover Effects Based on Sampling from Noisy Perception and Memory. CMCL@ACL 2014: 1-9 - [c16]Nan Jiang, Satinder Singh, Richard L. Lewis:
Improving UCT planning via approximate homomorphisms. AAMAS 2014: 1289-1296 - [c15]Xiaoxiao Guo, Satinder Singh, Honglak Lee, Richard L. Lewis, Xiaoshi Wang:
Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning. NIPS 2014: 3338-3346 - 2013
- [c14]John Tracy Hale, Richard L. Lewis, David Reitter, Chung-chieh Shan, Sashank Varma:
Integrating Language and Cognitive Architecture. AAAI Fall Symposia 2013 - [c13]Christopher W. Myers, Richard L. Lewis, Andrew Howes:
Bounded Optimal State Estimation and Control in Visual Search: Explaining Distractor Ratio Effects. CogSci 2013 - [c12]Michael Feary, Dorrit Billman, Xiuli Chen, Andrew Howes, Richard L. Lewis, Lance Sherry, Satinder Singh:
Linking Context to Evaluation in the Design of Safety Critical Interfaces. HCI (1) 2013: 193-202 - [c11]Xiaoxiao Guo, Satinder Singh, Richard L. Lewis:
Reward Mapping for Transfer in Long-Lived Agents. NIPS 2013: 2130-2138 - 2012
- [c10]Jeshua Bratman, Satinder Singh, Jonathan Sorg, Richard L. Lewis:
Strong mitigation: nesting search for good policies within search for good reward. AAMAS 2012: 407-414 - [c9]Bingyao Liu, Satinder Singh, Richard L. Lewis, Shiyin Qin:
Optimal rewards in multiagent teams. ICDL-EPIROB 2012: 1-8 - 2011
- [c8]Jonathan Sorg, Satinder Singh, Richard L. Lewis:
Optimal Rewards versus Leaf-Evaluation Heuristics in Planning Agents. AAAI 2011: 465-470 - 2010
- [c7]Jonathan Sorg, Satinder Singh, Richard L. Lewis:
Internal Rewards Mitigate Agent Boundedness. ICML 2010: 1007-1014 - [c6]Jonathan Sorg, Satinder Singh, Richard L. Lewis:
Reward Design via Online Gradient Ascent. NIPS 2010: 2190-2198 - [c5]Jonathan Sorg, Satinder Singh, Richard L. Lewis:
Variance-Based Rewards for Approximate Bayesian Reinforcement Learning. UAI 2010: 564-571 - 2006
- [c4]Katherine Eng, Richard L. Lewis, Irene Tollinger, Alina Chu, Andrew Howes, Alonso H. Vera:
Generating automated predictions of behavior strategically adapted to specific performance objectives. CHI 2006: 621-630 - 2005
- [c3]Irene Tollinger, Richard L. Lewis, Michael McCurdy, Preston Tollinger, Alonso H. Vera, Andrew Howes, Laura Pelton:
Supporting efficient development of cognitive models at multiple skill levels: exploring recent advances in constraint-based modeling. CHI 2005: 411-420 - 2004
- [c2]Alonso H. Vera, Andrew Howes, Michael McCurdy, Richard L. Lewis:
A constraint satisfaction approach to predicting skilled interactive cognition. CHI 2004: 121-128 - [c1]Richard L. Lewis, Alonso H. Vera, Andrew Howes:
A Constraint-Based Approach to Understanding the Composition of Skill. ICCM 2004: 148-153
Parts in Books or Collections
- 2007
- [p1]Andrew Howes, Richard L. Lewis, Alonso H. Vera:
Bounding Rational Analysis: Constraints on Asymptotic Performance. Integrated Models of Cognitive Systems 2007: 403-410
Informal and Other Publications
- 2023
- [i15]Wilka Carvalho, Angelos Filos, Richard L. Lewis, Honglak Lee, Satinder Singh:
Composing Task Knowledge with Modular Successor Feature Approximators. CoRR abs/2301.12305 (2023) - [i14]Xiaoyang Hu, Shane Storks, Richard L. Lewis, Joyce Chai:
In-Context Analogical Reasoning with Pre-Trained Language Models. CoRR abs/2305.17626 (2023) - [i13]Wilka Carvalho, Andre Saraiva, Angelos Filos, Andrew Kyle Lampinen, Loic Matthey, Richard L. Lewis, Honglak Lee, Satinder Singh, Danilo J. Rezende, Daniel Zoran:
Combining Behaviors with the Successor Features Keyboard. CoRR abs/2310.15940 (2023) - 2022
- [i12]Vivek Veeriah, Zeyu Zheng, Richard L. Lewis, Satinder Singh:
GrASP: Gradient-Based Affordance Selection for Planning. CoRR abs/2202.04772 (2022) - [i11]Ethan A. Brooks, Logan Walls, Richard L. Lewis, Satinder Singh:
In-Context Policy Iteration. CoRR abs/2210.03821 (2022) - 2021
- [i10]Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard L. Lewis, Satinder Singh:
Learning State Representations from Random Deep Action-conditional Predictions. CoRR abs/2102.04897 (2021) - [i9]Zeyu Zheng, Risto Vuorio, Richard L. Lewis, Satinder Singh:
Pairwise Weights for Temporal Credit Assignment. CoRR abs/2102.04999 (2021) - [i8]Ethan A. Brooks, Janarthanan Rajendran, Richard L. Lewis, Satinder Singh:
Reinforcement Learning of Implicit and Explicit Control Flow in Instructions. CoRR abs/2102.13195 (2021) - [i7]Soo-Hyun Ryu, Richard L. Lewis:
Accounting for Agreement Phenomena in Sentence Comprehension with Transformer Language Models: Effects of Similarity-based Interference on Surprisal and Attention. CoRR abs/2104.12874 (2021) - 2020
- [i6]Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard L. Lewis, Satinder Singh:
Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in First-person Simulated 3D Environments. CoRR abs/2010.15195 (2020) - 2019
- [i5]Vivek Veeriah, Matteo Hessel, Zhongwen Xu, Richard L. Lewis, Janarthanan Rajendran, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh:
Discovery of Useful Questions as Auxiliary Tasks. CoRR abs/1909.04607 (2019) - [i4]Janarthanan Rajendran, Richard L. Lewis, Vivek Veeriah, Honglak Lee, Satinder Singh:
How Should an Agent Practice? CoRR abs/1912.07045 (2019) - 2016
- [i3]Xiaoxiao Guo, Satinder Singh, Richard L. Lewis, Honglak Lee:
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games. CoRR abs/1604.07095 (2016) - 2015
- [i2]Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, Richard L. Lewis, Satinder Singh:
Action-Conditional Video Prediction using Deep Networks in Atari Games. CoRR abs/1507.08750 (2015) - 2012
- [i1]Jonathan Sorg, Satinder Singh, Richard L. Lewis:
Variance-Based Rewards for Approximate Bayesian Reinforcement Learning. CoRR abs/1203.3518 (2012)
Coauthor Index
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