Chandra Ramabhadra Murthy

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chandra Ramabhadra Murthy trusts overall

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

  1. Stephen P. Boyd
  2. David Kempe
  3. Wei Shi
  4. A. Dimakis

Papers from Chandra Ramabhadra Murthy's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Human-level control through deep reinforcement learning
  3. Playing Atari with Deep Reinforcement Learning (arXiv.org)
  4. Distributed Asynchronous Deterministic and Stochastic Gradient Optimization Algorithms
  5. Gossip-based computation of aggregate information
  6. Randomized gossip algorithms
  7. Efficient BackProp
  8. Gossip Algorithms for Distributed Signal Processing
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Mastering the game of Go without human knowledge

Their papers