Richard Dazeley
Artificial Intelligence · 2011–2021
A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 46 citations into it; #15,824 of 35,345 by trust here, #14,718 by citations
- Reinforcement Learning — 37 citations into it
- Computational Theory and Mathematics — 30 citations into it; #5,040 of 12,182 by trust here, #2,851 by citations
- Management Science and Operations Research — 6 citations into it
- Control and Systems Engineering — 5 citations into it
Whom Richard Dazeley trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Justin A. Boyan
- Leslie Pack Kaelbling
- Martin L. Puterman
- Brian Tanner
- Daniel J. Lizotte
- Andrew W. Moore
- Richard Bellman
- Istvan Szita
- Nikita I. Lytkin
Who trusts Richard Dazeley overall
Papers from Richard Dazeley's perspective
Ordered by how strongly the researchers Richard Dazeley trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Learning from delayed rewards
- Markov Decision Processes: Discrete Stochastic Dynamic Programming
- Continuous control with deep reinforcement learning (International Conference on Learning Representations)
- Human-level control through deep reinforcement learning
- Reinforcement Learning: A Survey
- Learning to predict by the methods of temporal differences
- Introduction to Reinforcement Learning
- Planning and Acting in Partially Observable Stochastic Domains
- Generalization in Reinforcement Learning: Safely Approximating the Value Function
Their papers
- A Survey of Multi-Objective Sequential Decision-Making (2013) — 837 citations
- Empirical evaluation methods for multiobjective reinforcement learning algorithms (2011) — 349 citations
- A practical guide to multi-objective reinforcement learning and planning (2021) — 587 citations