Martina Zambelli

Artificial Intelligence · 2020

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 Martina Zambelli trusts

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

  1. Pieter Abbeel (in Artificial Intelligence)
  2. Ben J. A. Kröse (in Reinforcement Learning)
  3. Sergey Levine (in Artificial Intelligence)

Papers from Martina Zambelli's perspective

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

  1. Human-level control through deep reinforcement learning
  2. Trust Region Policy Optimization (International Conference on Machine Learning)
  3. Proximal Policy Optimization Algorithms (arXiv.org)
  4. MuJoCo: A physics engine for model-based control
  5. Mastering the game of Go with deep neural networks and tree search
  6. Learning Continuous Control Policies by Stochastic Value Gradients
  7. DeepMind Control Suite
  8. Learning from delayed rewards
  9. Distral: Robust multitask reinforcement learning
  10. Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor (International Conference on Machine Learning)

Their papers