Arash Tavakoli

My research interests lie broadly in Artificial Intelligence, with particular focus on Machine Learning and Reinforcement Learning. 
See my personal page for up-to-date information: atavakol.github.io

  Publications during doctoral studies

• Learning to represent action values as a hypergraph on the action vertices
  A. Tavakoli, M. Fatemi, P. Kormushev
  ICLR 2021
  
  Paper

• A neural network oracle for quantum nonlocality problems in networks 
  T. Kriváchy, Y. Cai, D. Cavalcanti, A. Tavakoli, N. Gisin, N. Brunner
  npj Quantum Information 2020
  Paper

• Using a logarithmic mapping to enable lower discount factors in reinforcement learning
  H. van Seijen, M. Fatemi, A. Tavakoli
  NeurIPS 2019
  Paper

• Exploring restart distributions
  A. Tavakoli, V. Levdik, R. Islam, C. M. Smith, P. Kormushev
  RLDM 2019
  Paper

• Time limits in reinforcement learning
  F. Pardo, A. Tavakoli, V. Levdik, P. Kormushev
  ICML 2018
  Paper

• Action branching architectures for deep reinforcement learning
  A. Tavakoli, F. Pardo, P. Kormushev
  AAAI 2018
  Paper