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
ICLR 2021
- A neural network oracle for quantum nonlocality problems in networks
npj Quantum Information 2020
- Using a logarithmic mapping to enable lower discount factors in reinforcement learning
NeurIPS 2019
- Exploring restart distributions
RLDM 2019
- Time limits in reinforcement learning
ICML 2018
- Action branching architectures for deep reinforcement learning
AAAI 2018