Richard L. Lewis

Affiliations:
  • University of Michigan, Department of Psychology
  • Ohio State University, College of Engineering
  • Princeton University, Department of Psychology
  • Carnegie Mellon University, School of Computer Science


According to our database1, Richard L. Lewis authored at least 49 papers between 1993 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Combining Behaviors with the Successor Features Keyboard.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Large Language Models can Implement Policy Iteration.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Composing Task Knowledge With Modular Successor Feature Approximators.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

In-Context Analogical Reasoning with Pre-Trained Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
In-Context Policy Iteration.
CoRR, 2022

GrASP: Gradient-Based Affordance Selection for Planning.
CoRR, 2022

Adaptive Pairwise Weights for Temporal Credit Assignment.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Pairwise Weights for Temporal Credit Assignment.
CoRR, 2021

Learning State Representations from Random Deep Action-conditional Predictions.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Reinforcement Learning of Implicit and Explicit Control Flow Instructions.
Proceedings of the 38th International Conference on Machine Learning, 2021

Accounting for Agreement Phenomena in Sentence Comprehension with Transformer Language Models: Effects of Similarity-based Interference on Surprisal and Attention.
Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, 2021

2020
Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in First-person Simulated 3D Environments.
CoRR, 2020

How Should an Agent Practice?
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Discovery of Useful Questions as Auxiliary Tasks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning to Communicate and Solve Visual Blocks-World Tasks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Dynamic encoding of structural uncertainty in gradient symbols.
Proceedings of the 8th Workshop on Cognitive Modeling and Computational Linguistics, 2018

2017
Human Visual Search as a Deep Reinforcement Learning Solution to a POMDP.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016
Predicting Short-Term Remembering as Boundedly Optimal Strategy Choice.
Cogn. Sci., 2016

The Dependence of Effective Planning Horizon on Model Accuracy.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Action-Conditional Video Prediction using Deep Networks in Atari Games.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Computational Rationality: Linking Mechanism and Behavior Through Bounded Utility Maximization.
Top. Cogn. Sci., 2014

Utility Maximization and Bounds on Human Information Processing.
Top. Cogn. Sci., 2014

Optimal Rewards for Cooperative Agents.
IEEE Trans. Auton. Ment. Dev., 2014

Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Improving UCT planning via approximate homomorphisms.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Computationally Rational Saccadic Control: An Explanation of Spillover Effects Based on Sampling from Noisy Perception and Memory.
Proceedings of the Fifth Workshop on Cognitive Modeling and Computational Linguistics, 2014

2013
The Adaptive Nature of Eye Movements in Linguistic Tasks: How Payoff and Architecture Shape Speed-Accuracy Trade-Offs.
Top. Cogn. Sci., 2013

Reward Mapping for Transfer in Long-Lived Agents.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Linking Context to Evaluation in the Design of Safety Critical Interfaces.
Proceedings of the Human-Computer Interaction. Human-Centred Design Approaches, Methods, Tools, and Environments, 2013

Bounded Optimal State Estimation and Control in Visual Search: Explaining Distractor Ratio Effects.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Integrating Language and Cognitive Architecture.
Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013

2012
Optimal rewards in multiagent teams.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Strong mitigation: nesting search for good policies within search for good reward.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2011
Optimal Rewards versus Leaf-Evaluation Heuristics in Planning Agents.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Intrinsically Motivated Reinforcement Learning: An Evolutionary Perspective.
IEEE Trans. Auton. Ment. Dev., 2010

Variance-Based Rewards for Approximate Bayesian Reinforcement Learning.
Proceedings of the UAI 2010, 2010

Reward Design via Online Gradient Ascent.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Internal Rewards Mitigate Agent Boundedness.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009
A computational unification of cognitive behavior and emotion.
Cogn. Syst. Res., 2009

2008
Processing Polarity: How the Ungrammatical Intrudes on the Grammatical.
Cogn. Sci., 2008

2007
Bounding Rational Analysis: Constraints on Asymptotic Performance.
Proceedings of the Integrated Models of Cognitive Systems., 2007

2006
Generating automated predictions of behavior strategically adapted to specific performance objectives.
Proceedings of the 2006 Conference on Human Factors in Computing Systems, 2006

2005
An Activation-Based Model of Sentence Processing as Skilled Memory Retrieval.
Cogn. Sci., 2005

Supporting efficient development of cognitive models at multiple skill levels: exploring recent advances in constraint-based modeling.
Proceedings of the 2005 Conference on Human Factors in Computing Systems, 2005

2004
A Constraint-Based Approach to Understanding the Composition of Skill.
Proceedings of the International Conference on Cognitive Modelling, 2004

A constraint satisfaction approach to predicting skilled interactive cognition.
Proceedings of the 2004 Conference on Human Factors in Computing Systems, 2004

1993
Combining Multiple Knowledge Sources in an Integrated Intelligent System.
IEEE Expert, 1993


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