Robert H. Crites

Reinforcement Learning · 1996–1998

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 15 citations into it

Whom Robert H. Crites trusts overall

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

1. Ben J. A. Kröse
2. Michael L. Littman
3. G. Tesauro
4. R. May
5. Andrew Barto
6. Richard S. Sutton
7. David E. Rumelhart
8. Martin A. Nowak
9. Gerhard Weiss
10. Arthur L. Samuel

Who trusts Robert H. Crites overall

1. Pablo Hernandez-Leal
2. Andrew Barto
3. Shimon Whiteson
4. Peter Geibel
5. Shingo Mabu
6. Shangding Gu
7. Peter Stone
8. Sridhar Mahadevan
9. Fritz Wysotzki
10. Dipyaman Banerjee

Papers from Robert H. Crites's perspective

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

1. Reinforcement Learning: An Introduction
2. Learning from delayed rewards
3. Markov Games as a Framework for Multi-Agent Reinforcement Learning
4. Temporal Difference Learning and TD-Gammon
5. TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play
6. ImageNet classification with deep convolutional neural networks
7. Gradient-based learning applied to document recognition
8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Long Short-Term Memory

Their papers

• Elevator Group Control Using Multiple Reinforcement Learning Agents (1998)
• Multiagent reinforcement learning in the Iterated Prisoner's Dilemma. (1996)