Takehisa Kohda

Reinforcement Learning · 2014

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 6 citations into it

Whom Takehisa Kohda trusts overall

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

1. Dimitri P. Bertsekas
2. Justin A. Boyan
3. Csaba Szepesvari
4. P. Pardalos
5. Richard S. Sutton

Papers from Takehisa Kohda's perspective

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

1. Reinforcement Learning: An Introduction
2. Technical Update: Least-Squares Temporal Difference Learning (Machine-mediated learning)
3. Least-Squares Policy Iteration
4. Neuro-Dynamic Programming
5. Approximate dynamic programming: solving the curses of dimensionality
6. Algorithms for Reinforcement Learning
7. Methods of conjugate gradients for solving linear systems
8. Iterative methods for sparse linear systems
9. Reinforcement Learning Benchmarks and Bake-offs II A workshop at the 2005 NIPS conference
10. Linear Least-Squares algorithms for temporal difference learning

Their papers

• Acceleration of Reinforcement Learning by Policy Evaluation Using Nonstationary Iterative Method (2014) — 13 citations