V. Botti

Reinforcement Learning · 2018

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

Subfields

• Reinforcement Learning — 8 citations into it

Whom V. Botti trusts overall

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

1. Richard S. Sutton

Who trusts V. Botti overall

1. Frans Adriaan Oliehoek
2. Chris Amato

Papers from V. Botti's perspective

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

1. Programming multi-agent systems in AgentSpeak using Jason : a practical introduction with Jason
2. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
3. Markov Decision Processes: Discrete Stochastic Dynamic Programming
4. Residual Algorithms: Reinforcement Learning with Function Approximation
5. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Reinforcement Learning: An Introduction
8. Learning internal representations by error propagation
9. Temporal Difference Learning and TD-Gammon
10. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning

Their papers

• Multi-Agent Systems (2018) — 518 citations