VU Brussel

Reinforcement Learning

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 14 citations into it

Whom VU Brussel trusts overall

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

1. Richard S. Sutton

Papers from VU Brussel's perspective

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

1. Markov Decision Processes: Discrete Stochastic Dynamic Programming
2. Reinforcement Learning: An Introduction
3. Eligibility Traces for Off-Policy Policy Evaluation
4. Learning to predict by the methods of temporal differences
5. Learning from delayed rewards
6. Neuro-Dynamic Programming
7. Incremental multi-step Q-learning
8. Off-Policy Temporal Difference Learning with Function Approximation
9. Q-learning
10. Off-policy learning based on weighted importance sampling with linear computational complexity

Their papers

• Q( λ ) with Off-Policy Corrections