Richard L. Lewis

66 papers A* 17A 4B 3Journal 27Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bound by semanticity: universal laws governing the generalization-identification tradeoff. CoRR Marco Nurisso, Jesseba Fernando, Raj Deshpande, Alan Perotti, Raja Marjieh, Steven M. Frankland, Richard L. Lewis, Taylor W. Webb, Declan Campbell, Francesco Vaccarino, Jonathan D. Cohen, Giovanni Petri
2025	—	`conf`	Do Language Models Understand the Cognitive Tasks Given to Them? Investigations with the N-Back Paradigm. ACL (Findings) Xiaoyang Hu, Richard L. Lewis
2024	J	`jnl`	Do Language Models Understand the Cognitive Tasks Given to Them? Investigations with the N-Back Paradigm. CoRR Xiaoyang Hu, Richard L. Lewis
2024	B	`conf`	Regret Theory predicts decoy effects in risky and multiattribute choice. CogSci Logan A. Walls, Andrew Howes, Richard L. Lewis
2023	A*	`conf`	Combining Behaviors with the Successor Features Keyboard. NeurIPS Wilka Carvalho, Andre Saraiva, Angelos Filos, Andrew K. Lampinen, Loic Matthey, Richard L. Lewis, Honglak Lee, Satinder Singh, Danilo Jimenez Rezende, Daniel Zoran
2023	J	`jnl`	Combining Behaviors with the Successor Features Keyboard. CoRR Wilka Carvalho, Andre Saraiva, Angelos Filos, Andrew Kyle Lampinen, Loic Matthey, Richard L. Lewis, Honglak Lee, Satinder Singh, Danilo J. Rezende, Daniel Zoran
2023	A*	`conf`	Composing Task Knowledge With Modular Successor Feature Approximators. ICLR Wilka Carvalho, Angelos Filos, Richard L. Lewis, Honglak Lee, Satinder Singh
2023	J	`jnl`	Composing Task Knowledge with Modular Successor Feature Approximators. CoRR Wilka Carvalho, Angelos Filos, Richard L. Lewis, Honglak Lee, Satinder Singh
2023	—	`conf`	In-Context Analogical Reasoning with Pre-Trained Language Models. ACL (1) Xiaoyang Hu, Shane Storks, Richard L. Lewis, Joyce Chai
2023	J	`jnl`	In-Context Analogical Reasoning with Pre-Trained Language Models. CoRR Xiaoyang Hu, Shane Storks, Richard L. Lewis, Joyce Chai
2023	A*	`conf`	Large Language Models can Implement Policy Iteration. NeurIPS Ethan Brooks, Logan Walls, Richard L. Lewis, Satinder Singh
2022	A*	`conf`	Adaptive Pairwise Weights for Temporal Credit Assignment. AAAI Zeyu Zheng, Risto Vuorio, Richard L. Lewis, Satinder Singh
2022	J	`jnl`	GrASP: Gradient-Based Affordance Selection for Planning. CoRR Vivek Veeriah, Zeyu Zheng, Richard L. Lewis, Satinder Singh
2022	J	`jnl`	In-Context Policy Iteration. CoRR Ethan Brooks, Logan Walls, Richard L. Lewis, Satinder Singh
2021	—	`conf`	Accounting for Agreement Phenomena in Sentence Comprehension with Transformer Language Models: Effects of Similarity-based Interference on Surprisal and Attention. CMLS Soo-Hyun Ryu, Richard L. Lewis
2021	J	`jnl`	Accounting for Agreement Phenomena in Sentence Comprehension with Transformer Language Models: Effects of Similarity-based Interference on Surprisal and Attention. CoRR Soo-Hyun Ryu, Richard L. Lewis
2021	A*	`conf`	Learning State Representations from Random Deep Action-conditional Predictions. NeurIPS Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard L. Lewis, Satinder Singh
2021	J	`jnl`	Learning State Representations from Random Deep Action-conditional Predictions. CoRR Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard L. Lewis, Satinder Singh
2021	J	`jnl`	Pairwise Weights for Temporal Credit Assignment. CoRR Zeyu Zheng, Risto Vuorio, Richard L. Lewis, Satinder Singh
2021	A*	`conf`	Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment. IJCAI Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard L. Lewis, Satinder Singh
2021	A*	`conf`	Reinforcement Learning of Implicit and Explicit Control Flow Instructions. ICML Ethan Brooks, Janarthanan Rajendran, Richard L. Lewis, Satinder Singh
2021	J	`jnl`	Reinforcement Learning of Implicit and Explicit Control Flow in Instructions. CoRR Ethan Brooks, Janarthanan Rajendran, Richard L. Lewis, Satinder Singh
2020	A*	`conf`	How Should an Agent Practice? AAAI Janarthanan Rajendran, Richard L. Lewis, Vivek Veeriah, Honglak Lee, Satinder Singh
2020	J	`jnl`	Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in First-person Simulated 3D Environments. CoRR Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard L. Lewis, Satinder Singh
2019	A*	`conf`	Discovery of Useful Questions as Auxiliary Tasks. NeurIPS Vivek Veeriah, Matteo Hessel, Zhongwen Xu, Janarthanan Rajendran, Richard L. Lewis, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh
2019	J	`jnl`	Discovery of Useful Questions as Auxiliary Tasks. CoRR Vivek Veeriah, Matteo Hessel, Zhongwen Xu, Richard L. Lewis, Janarthanan Rajendran, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh
2019	J	`jnl`	How Should an Agent Practice? CoRR Janarthanan Rajendran, Richard L. Lewis, Vivek Veeriah, Honglak Lee, Satinder Singh
2019	A*	`conf`	Learning to Communicate and Solve Visual Blocks-World Tasks. AAAI Qi Zhang, Richard L. Lewis, Satinder Singh, Edmund H. Durfee
2018	—	`conf`	Dynamic encoding of structural uncertainty in gradient symbols. CMCL Pyeong Whan Cho, Matthew Goldrick, Richard L. Lewis, Paul Smolensky
2018	—	`ch.`	Interaction as an Emergent Property of a Partially Observable Markov Decision Process. Computational Interaction Andrew Howes, Xiuli Chen, Aditya Acharya, Richard L. Lewis
2017	B	`conf`	Human Visual Search as a Deep Reinforcement Learning Solution to a POMDP. CogSci Aditya Acharya, Xiuli Chen, Christopher W. Myers, Richard L. Lewis, Andrew Howes
2016	A*	`conf`	Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games. IJCAI Xiaoxiao Guo, Satinder Singh, Richard L. Lewis, Honglak Lee
2016	J	`jnl`	Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games. CoRR Xiaoxiao Guo, Satinder Singh, Richard L. Lewis, Honglak Lee
2016	J	`jnl`	Predicting Short-Term Remembering as Boundedly Optimal Strategy Choice. Cogn. Sci. Andrew Howes, Geoffrey B. Duggan, Kiran Kalidindi, Yuan-Chi Tseng, Richard L. Lewis
2016	A*	`conf`	The Dependence of Effective Planning Horizon on Model Accuracy. IJCAI Nan Jiang, Alex Kulesza, Satinder Singh, Richard L. Lewis
2015	—	`conf`	Action-Conditional Video Prediction using Deep Networks in Atari Games. NIPS Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, Richard L. Lewis, Satinder Singh
2015	J	`jnl`	Action-Conditional Video Prediction using Deep Networks in Atari Games. CoRR Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, Richard L. Lewis, Satinder Singh
2015	A	`conf`	The Dependence of Effective Planning Horizon on Model Accuracy. AAMAS Nan Jiang, Alex Kulesza, Satinder Singh, Richard L. Lewis
2014	J	`jnl`	Computational Rationality: Linking Mechanism and Behavior Through Bounded Utility Maximization. Top. Cogn. Sci. Richard L. Lewis, Andrew Howes, Satinder Singh
2014	—	`conf`	Computationally Rational Saccadic Control: An Explanation of Spillover Effects Based on Sampling from Noisy Perception and Memory. CMCL@ACL Michael Shvartsman, Richard L. Lewis, Satinder Singh
2014	—	`conf`	Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning. NIPS Xiaoxiao Guo, Satinder Singh, Honglak Lee, Richard L. Lewis, Xiaoshi Wang
2014	A	`conf`	Improving UCT planning via approximate homomorphisms. AAMAS Nan Jiang, Satinder Singh, Richard L. Lewis
2014	J	`jnl`	Optimal Rewards for Cooperative Agents. IEEE Trans. Auton. Ment. Dev. Bingyao Liu, Satinder Singh, Richard L. Lewis, Shiyin Qin
2014	J	`jnl`	Utility Maximization and Bounds on Human Information Processing. Top. Cogn. Sci. Andrew Howes, Richard L. Lewis, Satinder Singh
2013	B	`conf`	Bounded Optimal State Estimation and Control in Visual Search: Explaining Distractor Ratio Effects. CogSci Christopher W. Myers, Richard L. Lewis, Andrew Howes
2013	—	`conf`	Integrating Language and Cognitive Architecture. AAAI Fall Symposia John Tracy Hale, Richard L. Lewis, David Reitter, Chung-chieh Shan, Sashank Varma
2013	—	`conf`	Linking Context to Evaluation in the Design of Safety Critical Interfaces. HCI (1) Michael Feary, Dorrit Billman, Xiuli Chen, Andrew Howes, Richard L. Lewis, Lance Sherry, Satinder Singh
2013	—	`conf`	Reward Mapping for Transfer in Long-Lived Agents. NIPS Xiaoxiao Guo, Satinder Singh, Richard L. Lewis
2013	J	`jnl`	The Adaptive Nature of Eye Movements in Linguistic Tasks: How Payoff and Architecture Shape Speed-Accuracy Trade-Offs. Top. Cogn. Sci. Richard L. Lewis, Michael Shvartsman, Satinder Singh
2012	—	`conf`	Optimal rewards in multiagent teams. ICDL-EPIROB Bingyao Liu, Satinder Singh, Richard L. Lewis, Shiyin Qin
2012	A	`conf`	Strong mitigation: nesting search for good policies within search for good reward. AAMAS Jeshua Bratman, Satinder Singh, Jonathan Sorg, Richard L. Lewis
2012	J	`jnl`	Variance-Based Rewards for Approximate Bayesian Reinforcement Learning CoRR Jonathan Sorg, Satinder Singh, Richard L. Lewis
2011	A*	`conf`	Optimal Rewards versus Leaf-Evaluation Heuristics in Planning Agents. AAAI Jonathan Sorg, Satinder Singh, Richard L. Lewis
2010	A*	`conf`	Internal Rewards Mitigate Agent Boundedness. ICML Jonathan Sorg, Satinder Singh, Richard L. Lewis
2010	J	`jnl`	Intrinsically Motivated Reinforcement Learning: An Evolutionary Perspective. IEEE Trans. Auton. Ment. Dev. Satinder Singh, Richard L. Lewis, Andrew G. Barto, Jonathan Sorg
2010	—	`conf`	Reward Design via Online Gradient Ascent. NIPS Jonathan Sorg, Satinder Singh, Richard L. Lewis
2010	A	`conf`	Variance-Based Rewards for Approximate Bayesian Reinforcement Learning. UAI Jonathan Sorg, Satinder Singh, Richard L. Lewis
2009	J	`jnl`	A computational unification of cognitive behavior and emotion. Cogn. Syst. Res. Robert P. Marinier III, John E. Laird, Richard L. Lewis
2008	J	`jnl`	Processing Polarity: How the Ungrammatical Intrudes on the Grammatical. Cogn. Sci. Shravan Vasishth, Sven Brüssow, Richard L. Lewis, Heiner Drenhaus
2007	—	`ch.`	Bounding Rational Analysis: Constraints on Asymptotic Performance. Integrated Models of Cognitive Systems Andrew Howes, Richard L. Lewis, Alonso H. Vera
2006	A*	`conf`	Generating automated predictions of behavior strategically adapted to specific performance objectives. CHI Katherine Eng, Richard L. Lewis, Irene Tollinger, Alina Chu, Andrew Howes, Alonso H. Vera
2005	J	`jnl`	An Activation-Based Model of Sentence Processing as Skilled Memory Retrieval. Cogn. Sci. Richard L. Lewis, Shravan Vasishth
2005	A*	`conf`	Supporting efficient development of cognitive models at multiple skill levels: exploring recent advances in constraint-based modeling. CHI Irene Tollinger, Richard L. Lewis, Michael McCurdy, Preston Tollinger, Alonso H. Vera, Andrew Howes, Laura Pelton
2004	—	`conf`	A Constraint-Based Approach to Understanding the Composition of Skill. ICCM Richard L. Lewis, Alonso H. Vera, Andrew Howes
2004	A*	`conf`	A constraint satisfaction approach to predicting skilled interactive cognition. CHI Alonso H. Vera, Andrew Howes, Michael McCurdy, Richard L. Lewis
1993	J	`jnl`	Combining Multiple Knowledge Sources in an Integrated Intelligent System. IEEE Expert David M. Steier, Richard L. Lewis, Jill Fain Lehman, Anna L. Zacherl