Hiroshi Ishiguro

with Kandal · 2005

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 Hiroshi Ishiguro trusts

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

1. Jonathan Baxter (in Artificial Intelligence)
2. Peter L. Bartlett (in Artificial Intelligence)

Papers from Hiroshi Ishiguro's perspective

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

1. Infinite-Horizon Policy-Gradient Estimation
2. Policy Gradient Methods for Reinforcement Learning with Function Approximation
3. Planning and Acting in Partially Observable Stochastic Domains
4. An Analysis of Temporal-Difference Learning with Function Approximation
5. A survey of algorithmic methods for partially observed Markov decision processes
6. Learning to predict by the methods of temporal differences
7. Gradient Descent for General Reinforcement Learning
8. Linear Least-Squares algorithms for temporal difference learning
9. An Analysis of Actor/Critic Algorithms Using Eligibility Traces: Reinforcement Learning with Imperfect Value Function
10. Likelihood ratio gradient estimation for stochastic systems

Their papers

• International Conference on Intelligent Robots and Systems Robot Behavior Adaptation for Human-Robot Interaction based on Policy Gradient Reinforcement Learning * (2005)