Evan Dekker

Machine-mediated learning · 2011

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Evan Dekker trusts overall

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

1. Andrew W. Moore

Who trusts Evan Dekker overall

1. Kristof Van Moffaert

Papers from Evan Dekker's perspective

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

1. Reinforcement Learning: A Survey
2. RL-Glue: Language-Independent Software for Reinforcement-Learning Experiments
3. Performance assessment of multiobjective optimizers: an analysis and review (IEEE Transactions on Evolutionary Computation)
4. Generalization in Reinforcement Learning: Safely Approximating the Value Function
5. A Tutorial on the Performance Assessment of Stochastic Multiobjective Optimizers
6. Evolutionary Algorithms for Solving Multi-Objective Problems
7. Reinforcement Learning Benchmarks and Bake-offs II A workshop at the 2005 NIPS conference
8. Multi-criteria Reinforcement Learning
9. Genetic Algorithms in Search Optimization and Machine Learning
10. TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play

Their papers

• Empirical evaluation methods for multiobjective reinforcement learning algorithms (2011) — 349 citations