Jeremy Lyle
Artificial Intelligence · 2012
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it
- Reinforcement Learning — 6 citations into it
Whom Jeremy Lyle trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Andrew Barto
- Matthijs T. J. Spaan
- Frans Adriaan Oliehoek
- Shlomo Zilberstein
- Andrew McCallum
- Ronen I. Brafman
- Landon Kraemer
- Daniel S. Bernstein
- Feng Wu
Who trusts Jeremy Lyle overall
Papers from Jeremy Lyle's perspective
Ordered by how strongly the researchers Jeremy Lyle trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Reinforcement learning with selective perception and hidden state
- The Complexity of Decentralized Control of Markov Decision Processes
- Memory-Bounded Dynamic Programming for DEC-POMDPs
- Introduction to Reinforcement Learning
- R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
- The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
- Learning Finite-State Controllers for Partially Observable Environments
- Point-based Dynamic Programming for DEC-POMDPs
- Scaling Up Optimal Heuristic Search in Dec-POMDPs via Incremental Expansion
Their papers
- Sample Bounded Distributed Reinforcement Learning for Decentralized POMDPs (2012) — 30 citations
- On the Independent Domination Number of Regular Graphs (2012) — 62 citations