Ramya Ramakrishnan

Reinforcement Learning · 2015

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 11 citations into it
• Artificial Intelligence — 10 citations into it
• Control and Systems Engineering — 10 citations into it
• Social Psychology — 7 citations into it

Whom Ramya Ramakrishnan trusts overall

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

1. W. B. Knox
2. Peter Stone
3. Andrea Lockerd Thomaz
4. Richard S. Sutton
5. Cynthia Lynn Breazeal
6. Aude Gemma Billard
7. Pieter Abbeel
8. Andrew Y. Ng
9. Andrew Barto
10. Guy Hoffman

Papers from Ramya Ramakrishnan's perspective

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

1. Reinforcement Learning: An Introduction
2. Algorithms for Inverse Reinforcement Learning
3. A survey of robot learning from demonstration
4. Apprenticeship learning via inverse reinforcement learning
5. Reinforcement Learning: A Survey
6. Robot learning from demonstration
7. Natural methods for robot task learning: instructive demonstrations, generalization and practice (Adaptive Agents and Multi-Agent Systems)
8. ImageNet classification with deep convolutional neural networks
9. Teachable robots: Understanding human teaching behavior to build more effective robot learners
10. Gradient-based learning applied to document recognition

Their papers

• Improved human–robot team performance through cross-training, an approach inspired by human team training practices (2015) — 84 citations