Vikash V. Gayah

Control and Systems Engineering · 2011–2019

A researcher in the Science corpus: 6 papers; trusts 14 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Vikash V. Gayah trusts overall

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

  1. Carlos F. Daganzo
  2. Nikolaos Geroliminis
  3. Alberto Bressan
  4. Marco A. Wiering
  5. Dimitris J. Bertsimas
  6. Richard S. Sutton
  7. Hua Wei
  8. James S. Albus
  9. Baher Abdulhai
  10. Jan S. Hesthaven

Who trusts Vikash V. Gayah overall

  1. Jack Haddad
  2. Nikolaos Geroliminis
  3. Konstantinos Aboudolas
  4. Richard Arnott
  5. Jorge A. Laval
  6. M. Ramezani

Papers from Vikash V. Gayah's perspective

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

  1. Human-level control through deep reinforcement learning
  2. Policy Gradient Methods for Reinforcement Learning with Function Approximation
  3. Reinforcement Learning: A Survey
  4. Multi-Agent Reinforcement Learning for Traffic Light control
  5. A variational formulation of kinematic waves: basic theory and complex boundary conditions
  6. Existence of urban-scale macroscopic fundamental diagrams: Some experimental findings - eScholarship
  7. Macroscopic relations of urban traffic variables: Bifurcations, multivaluedness and instability
  8. Temporal credit assignment in reinforcement learning
  9. The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
  10. Reinforcement learning for true adaptive traffic signal control

Their papers