Rohit Singh

with Fang · 2018

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

Whom Rohit Singh trusts

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

  1. Milind Tambe (in Safety, Robustness & Interpretability)

Papers from Rohit Singh's perspective

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

  1. Asynchronous Methods for Deep Reinforcement Learning
  2. Human-level control through deep reinforcement learning
  3. Policy Gradient Methods for Reinforcement Learning with Function Approximation
  4. Mastering the game of Go with deep neural networks and tree search
  5. Q-learning
  6. Actor-Critic Algorithms
  7. Security and Game Theory - Algorithms, Deployed Systems, Lessons Learned
  8. Planning in the Presence of Cost Functions Controlled by an Adversary
  9. Regret Minimization in Games with Incomplete Information
  10. DeepStack: Expert-level artificial intelligence in heads-up no-limit poker

Their papers