Piotr Kozakowski

Artificial Intelligence · 2019

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 Piotr Kozakowski trusts

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

  1. Diederik P. Kingma (in Artificial Intelligence)

Papers from Piotr Kozakowski's perspective

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

  1. Long Short-Term Memory
  2. Asynchronous Methods for Deep Reinforcement Learning
  3. Human-level control through deep reinforcement learning
  4. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  5. Dropout: a simple way to prevent neural networks from overfitting
  6. Playing Atari with Deep Reinforcement Learning (arXiv.org)
  7. Proximal Policy Optimization Algorithms (arXiv.org)
  8. IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
  9. Action-Conditional Video Prediction using Deep Networks in Atari Games
  10. Learning Continuous Control Policies by Stochastic Value Gradients

Their papers