Luca Bascetta

Reinforcement Learning · 2013–2015

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 22 citations into it; #1,904 of 2,242 by trust here, #2,063 by citations
• Artificial Intelligence — 13 citations into it; #28,693 of 35,345 by trust here, #29,412 by citations
• Optimization & Training — 5 citations into it

Whom Luca Bascetta trusts overall

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

1. Jan Peters
2. Sham M. Kakade
3. Stefan Schaal
4. Ronald J. Williams
5. Jonathan Baxter
6. Richard S. Sutton
7. Karl Hinderer
8. Peter L. Bartlett
9. Andrew Barto
10. Matteo Pirotta

Who trusts Luca Bascetta overall

1. Kamil Andrzej Ciosek
2. Matteo Papini
3. Rodrigo Nogueira
4. Matteo Pirotta
5. Shimon Whiteson
6. Erwan Lecarpentier
7. Marcello Restelli

Papers from Luca Bascetta's perspective

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

1. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
2. Policy Gradient Methods for Reinforcement Learning with Function Approximation
3. ImageNet classification with deep convolutional neural networks
4. Markov Decision Processes: Discrete Stochastic Dynamic Programming
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. A Stochastic Approximation Method
7. A Natural Policy Gradient
8. Reinforcement Learning: An Introduction
9. Gradient-based learning applied to document recognition
10. Long Short-Term Memory

Their papers

• Policy gradient in Lipschitz Markov Decision Processes (2015) — 101 citations
• Adaptive Step-Size for Policy Gradient Methods (2013) — 79 citations