David Abel
22 papers
· 2016–2025
· 7 conferences
· across top CS/AI conferences
Achievements
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Academic Marathon
(9)
πΊοΈ
Taxonomy Completionist
(11)
π£
Hot Topic Early Bird
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Cross-Pollinator
(14)
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Renaissance Researcher
(5)
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Interdisciplinary Bridge
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Conference Polyglot
(7)
π§
Keyword Pioneer
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Keyword Champion
(2)
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Grand Slam
ποΈ
Keyword Collector
(78)
β‘
Prolific Year
(5)
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Conference Pioneer
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Century Club
(22)
π₯
Unstoppable
(8)
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Trend Setter
β
The Questioner
Conferences
ICML (10)
AAAI (4)
ICLR (2)
IJCAI (2)
NIPS (2)
AISTATS (1)
JMLR (1)
Top co-authors
Keywords
reinforcement learning
(9)
state abstraction
(6)
value function
(4)
lifelong reinforcement learning
(3)
markov decision process
(3)
pac learning
(2)
markov reward
(2)
option discovery
(2)
hierarchical abstraction
(2)
transfer learning
(2)
optimal policy
(2)
information theory
(2)
lifelong learning
(2)
task specification
(2)
function approximation
(1)
hierarchical learning
(1)
continual learning
(1)
hierarchical planning
(1)
information bottleneck
(1)
deep reinforcement learning
(1)
Papers
General agents need world models
ICML 2025
Settling the Reward Hypothesis
ICML 2023
On the Expressivity of Markov Reward
NIPS 2021
Value Preserving State-Action Abstractions
AISTATS 2020
The Expected-Length Model of Options
IJCAI 2019