Shoichi Noda

1995

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Shoichi Noda trusts overall

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

1. Leslie Pack Kaelbling
2. Longxin Lin
3. Steven D. Whitehead

Who trusts Shoichi Noda overall

1. Jens Kober
2. Carlos Florensa

Papers from Shoichi Noda's perspective

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

1. Automatic Programming of Behavior-Based Robots Using Reinforcement Learning
2. Input Generalization in Delayed Reinforcement Learning: An Algorithm and Performance Comparisons
3. Reward Functions for Accelerated Learning
4. A Complexity Analysis of Cooperative Mechanisms in Reinforcement Learning
5. Self-improving reactive agents based on reinforcement learning, planning and teaching
6. Learning to Achieve Goals
7. Dynamic Programming and Markov Processes
8. Variable Resolution Dynamic Programming
9. Markov Games as a Framework for Multi-Agent Reinforcement Learning
10. Policy Gradient Methods for Reinforcement Learning with Function Approximation

Their papers

• Purposive behavior acquisition for a real robot by vision-based reinforcement learning (1995)