A. Rupam

Reinforcement Learning · 2014

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 12 citations into it; #1,021 of 2,242 by trust here, #1,750 by citations

Whom A. Rupam trusts overall

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

1. Richard S. Sutton

Who trusts A. Rupam overall

1. A. Mahmood
2. Hado van Hasselt
3. Richard S. Sutton
4. Zhongwen Xu
5. Matteo Hessel

Papers from A. Rupam's perspective

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

1. Residual Algorithms: Reinforcement Learning with Function Approximation
2. Reinforcement Learning: An Introduction
3. Stable Function Approximation in Dynamic Programming
4. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
5. Markov Decision Processes: Discrete Stochastic Dynamic Programming
6. Eligibility Traces for Off-Policy Policy Evaluation
7. Trust Region Policy Optimization (International Conference on Machine Learning)
8. Gradient-based learning applied to document recognition
9. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
10. The Arcade Learning Environment: An Evaluation Platform for General Agents

Their papers

• A new Q ( � ) with interim forward view and Monte Carlo equivalence (2014)