Nauman Aslam

Aerospace Engineering · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nauman Aslam trusts

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

  1. Dimitri P. Bertsekas (in Reinforcement Learning)
  2. Michael L. Littman (in Reinforcement Learning)
  3. Rui Zhang (in Aerospace Engineering)
  4. Yong Zeng (in Aerospace Engineering)
  5. David Silver (in Reinforcement Learning)
  6. Diederik P. Kingma (in Artificial Intelligence)

Papers from Nauman Aslam's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  3. Human-level control through deep reinforcement learning
  4. Deep Learning
  5. Prioritized Experience Replay
  6. Deterministic Policy Gradient Algorithms
  7. Deep Reinforcement Learning with Double Q-Learning
  8. Markov Games as a Framework for Multi-Agent Reinforcement Learning
  9. An Introduction to Reinforcement Learning
  10. A Comprehensive Survey of Multiagent Reinforcement Learning

Their papers