DoKyeong Ok

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3ranked-venue papers

1as first author

0since 2021 · last 1998

—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence 3 papers		Reinforcement learning · 88% Planning, search and constraint satisfaction · 12%
Computer architecture, parallel and distributed computing, and storage systems 1 paper		Embedded and real-time systems · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

Topic	Papers	Last	Evidence papers
Machine learning › Reinforcement learning › markov decision process average-reward reinforcement learning	2	1998	Model-Based Average Reward Reinforcement Learning · Artif. Intell. 1998 Scaling Up Average Reward Reinforcement Learning by Approximating the Domain Models and the Value Function · ICML 1996
Machine learning › Reinforcement learning model-based reinforcement learning	1	1998	Model-Based Average Reward Reinforcement Learning · Artif. Intell. 1998
Machine learning › Reinforcement learning value function approximation	1	1996	Scaling Up Average Reward Reinforcement Learning by Approximating the Domain Models and the Value Function · ICML 1996
Knowledge, reasoning and agents › Planning, search and constraint satisfaction scheduling	1	1994	A Comparison of Reinforcement Learning Methods for Automatic Guided Vehicle Scheduling · AAAI 1994
Embedded and real-time systems › cyber-physical system platforms automated guided vehicle systems	1	1994	A Comparison of Reinforcement Learning Methods for Automatic Guided Vehicle Scheduling · AAAI 1994

Methods — techniques the papers use, named apart from their topics

dynamic programming · 0.0

Year	Publication	Venue	Position
1998	Model-Based Average Reward Reinforcement Learning Prasad Tadepalli, DoKyeong Ok	Artif. Intell.	2
1996	Scaling Up Average Reward Reinforcement Learning by Approximating the Domain Models and the Value Function Prasad Tadepalli, DoKyeong Ok	ICML	2
1994	A Comparison of Reinforcement Learning Methods for Automatic Guided Vehicle Scheduling DoKyeong Ok	AAAI	1