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09/12/2023
Modeling Cognitive-Affective Processes with Appraisal and Reinforcement Learning
Computational models can advance affective science by shedding light ont...
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09/04/2023
Fine-grained Affective Processing Capabilities Emerging from Large Language Models
Large language models, in particular generative pre-trained transformers...
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01/27/2023
A Valid Self-Report is Never Late, Nor is it Early: On Considering the "Right" Temporal Distance for Assessing Emotional Experience
Developing computational models for automatic affect prediction requires...
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08/27/2020
A Blast From the Past: Personalizing Predictions of Video-Induced Emotions using Personal Memories as Context
A key challenge in the accurate prediction of viewers' emotional respons...
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06/30/2020
Model-based Reinforcement Learning: A Survey
Sequential decision making, commonly formalized as Markov Decision Proce...
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06/26/2020
A Framework for Reinforcement Learning and Planning
Sequential decision making, commonly formalized as Markov Decision Proce...
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05/19/2020
The Second Type of Uncertainty in Monte Carlo Tree Search
Monte Carlo Tree Search (MCTS) efficiently balances exploration and expl...
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05/15/2020
Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement Learning
Planning and reinforcement learning are two key approaches to sequential...
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07/24/2018
A Temporal Difference Reinforcement Learning Theory of Emotion: unifying emotion, cognition and adaptive behavior
Emotions are intimately tied to motivation and the adaptation of behavio...
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06/11/2018
The Potential of the Return Distribution for Exploration in RL
This paper studies the potential of the return distribution for explorat...
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05/24/2018
A0C: Alpha Zero in Continuous Action Space
A core novelty of Alpha Zero is the interleaving of tree search and deep...
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05/23/2018
Monte Carlo Tree Search for Asymmetric Trees
We present an extension of Monte Carlo Tree Search (MCTS) that strongly ...
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11/29/2017
Efficient exploration with Double Uncertain Value Networks
This paper studies directed exploration for reinforcement learning agent...
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05/15/2017
Emotion in Reinforcement Learning Agents and Robots: A Survey
This article provides the first survey of computational models of emotio...
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05/01/2017
Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning
In this paper we study how to learn stochastic, multimodal transition dy...
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11/19/2012