Michael R. Piacentino

Artificial Intelligence · 2022

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

Whom Michael R. Piacentino trusts

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

  1. Diederik P. Kingma (in Artificial Intelligence)

Papers from Michael R. Piacentino's perspective

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

  1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  2. Reinforcement Learning: An Introduction
  3. Playing Atari with Deep Reinforcement Learning (arXiv.org)
  4. Overcoming catastrophic forgetting in neural networks
  5. Proximal Policy Optimization Algorithms (arXiv.org)
  6. IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
  7. A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
  8. Prioritized Experience Replay
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. ImageNet classification with deep convolutional neural networks

Their papers