Kazuhiro Ohkura

2008

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Kazuhiro Ohkura trusts overall

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

1. Richard S. Sutton
2. Ronald J. Williams
3. Longxin Lin
4. Kenji Doya

Papers from Kazuhiro Ohkura's perspective

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

1. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
2. Reinforcement Learning in Continuous Time and Space
3. Scaling Up Reinforcement Learning for Robot Control
4. Generalization in Reinforcement Learning: Successful Examples Using Sparse Coarse Coding
5. Learning internal representations by error propagation
6. Dynamic Programming and Markov Processes
7. Parallel and distributed computation
8. Learning in embedded systems
9. Efficient Learning and Planning Within the Dyna Framework
10. Reinforcement Learning for Robots Using Neural Networks

Their papers

• A Reinforcement Learning Technique with an Adaptive Action Generator for a Multi-robot System (2008) — 9 citations