DoKyeong Ok

1994–1996

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom DoKyeong Ok trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Andrew Barto
2. A. Jalali
3. Satinder Singh
4. Prasad Tadepalli
5. Dimitri P. Bertsekas
6. Anton Schwartz
7. Andrew W. Moore
8. Steven J. Bradtke

Who trusts DoKyeong Ok overall

1. Sridhar Mahadevan
2. Daphne Koller
3. Geoffrey E. Hinton
4. Ronald E. Parr
5. Prasad Tadepalli
6. Mohammad Ghavamzadeh
7. Jens Kober
8. David Andre
9. Nikolaos Goumagias
10. Carlos Guestrin

Papers from DoKyeong Ok's perspective

Ordered by how strongly the researchers DoKyeong Ok trusts endorse each paper. Same corpus, a different order for every researcher.

1. Automatic Programming of Behavior-Based Robots Using Reinforcement Learning
2. Efficient memory-based learning for robot control
3. A Reinforcement Learning Method for Maximizing Undiscounted Rewards
4. Learning to Act Using Real-Time Dynamic Programming
5. Generalization in Reinforcement Learning: Safely Approximating the Value Function
6. Dynamic Programming and Optimal Control, Two Volume Set
7. Reinforcement Learning Algorithms for Average-Payoff Markovian Decision Processes
8. H-Learning: A Reinforcement Learning Method for Optimizing Undiscounted Average Reward
9. Dynamic Programming and Markov Processes
10. Parallel and distributed computation

Their papers

• Scaling Up Average Reward Reinforcement Learning by Approximating the Domain Models and the Value Function (1996)
• H-Learning: A Reinforcement Learning Method for Optimizing Undiscounted Average Reward (1994)