Sergio Spanò

Reinforcement Learning · 2021

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

Whom Sergio Spanò trusts

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

  1. Richard S. Sutton (in Reinforcement Learning)
  2. Ben J. A. Kröse (in Reinforcement Learning)
  3. Peter Stone (in Artificial Intelligence)

Papers from Sergio Spanò's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Asynchronous Methods for Deep Reinforcement Learning
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Human-level control through deep reinforcement learning
  5. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  6. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  7. Curriculum learning
  8. Trust Region Policy Optimization (International Conference on Machine Learning)
  9. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
  10. Multi Agent Reinforcement Learning Independent vs Cooperative Agents

Their papers