Karl Mason

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Reinforcement Learning — 8 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Karl Mason trusts overall

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

1. Ben J. A. Kröse
2. Malabika Basu
3. Christopher J. C. H. Watkins

Papers from Karl Mason's perspective

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

1. Markov Decision Processes: Discrete Stochastic Dynamic Programming
2. If multi-agent learning is the answer, what is the question?
3. Empirical evaluation methods for multiobjective reinforcement learning algorithms (Machine-mediated learning)
4. Learning to Drive a Bicycle Using Reinforcement Learning and Shaping
5. Learning from delayed rewards
6. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
7. Theoretical considerations of potential-based reward shaping for multi-agent systems
8. Distributed agent-based air traffic flow management
9. An Introduction to MultiAgent Systems
10. Collective Intelligence (Business & Information Systems Engineering)

Their papers

• Policy invariance under reward transformations for multi-objective reinforcement learning (2017) — 57 citations