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Dive into the research topics where David Abel is active.

Publication


Featured researches published by David Abel.


international conference on automated planning and scheduling | 2015

Goal-based action priors

David Abel; D. Ellis Hershkowitz; Gabriel Barth-Maron; Stephen Brawner; Kevin O'Farrell; James MacGlashan; Stefanie Tellex


national conference on artificial intelligence | 2016

Reinforcement Learning as a Framework for Ethical Decision Making

David Abel; James MacGlashan; Michael L. Littman


international conference on machine learning | 2016

Near optimal behavior via approximate state abstraction

David Abel; D. Ellis Hershkowitz; Michael L. Littman


arXiv: Artificial Intelligence | 2017

Latent Attention Networks.

Christopher Grimm; Dilip Arumugam; Siddharth Karamcheti; David Abel; Lawson L. S. Wong; Michael L. Littman


national conference on artificial intelligence | 2018

Bandit-Based Solar Panel Control.

David Abel; Edward C. Williams; Stephen Brawner; Emily Reif; Michael L. Littman


international conference on machine learning | 2018

Policy and Value Transfer in Lifelong Reinforcement Learning.

David Abel; Yuu Jinnai; Sophie Yue Guo; George Konidaris; Michael L. Littman


international conference on machine learning | 2018

State Abstractions for Lifelong Reinforcement Learning

David Abel; Dilip Arumugam; Lucas Lehnert; Michael L. Littman


international conference on machine learning | 2018

What to Transfer in Lifelong Reinforcement Learning

David Abel; Yuu Jinnai; Sophie Yue Guo; George Konidaris; Michael L. Littman


arXiv: Artificial Intelligence | 2018

Finding Options that Minimize Planning Time.

Yuu Jinnai; David Abel; Michael L. Littman; George Konidaris


Archive | 2018

Modeling Latent Attention Within Neural Networks

Christopher Grimm; Dilip Arumugam; Siddharth Karamcheti; David Abel; Lawson L. S. Wong; Michael L. Littman

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Lawson L. S. Wong

Massachusetts Institute of Technology

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