Michael Rovatsos

Reinforcement Learning · 2000–2004

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 10 citations into it

Whom Michael Rovatsos trusts overall

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

1. Andrew Barto
2. Richard S. Sutton
3. Anil K. Jain
4. Sridhar Mahadevan
5. Doina Precup

Who trusts Michael Rovatsos overall

1. Jordi Sabater-Mir
2. Bin Yu
3. Carles Sierra
4. Isaac Pinyol

Papers from Michael Rovatsos's perspective

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

1. Reinforcement Learning: An Introduction
2. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
3. Markov Games as a Framework for Multi-Agent Reinforcement Learning
4. Markov Decision Processes: Discrete Stochastic Dynamic Programming
5. Recent Advances in Hierarchical Reinforcement Learning
6. Q-learning
7. Algorithms for Clustering Data
8. Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm
9. Probabilistic reasoning in intelligent systems: Networks of plausible inference
10. Rational and Convergent Learning in Stochastic Games

Their papers

• Using trust for detecting deceitful agents in artificial societies (2000) — 325 citations
• Hierarchical reinforcement learning in communication-mediated multiagent coordination (2004) — 32 citations