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Arash Tavakoli
Arash Tavakoli
Staff Research Scientist, Riot Games
Verified email at riotgames.com - Homepage
Title
Cited by
Cited by
Year
Action branching architectures for deep reinforcement learning
A Tavakoli, F Pardo, P Kormushev
AAAI Conference on Artificial Intelligence (AAAI), 4131-4138, 2018
2752018
Time limits in reinforcement learning
F Pardo, A Tavakoli, V Levdik, P Kormushev
International Conference on Machine Learning (ICML), 4045-4054, 2018
1572018
On the pitfalls of heteroscedastic uncertainty estimation with probabilistic neural networks
M Seitzer, A Tavakoli, D Antic, G Martius
International Conference on Learning Representations (ICLR), 2022
622022
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 6 (1), 70, 2020
422020
Using a logarithmic mapping to enable lower discount factors in reinforcement learning
H van Seijen, M Fatemi, A Tavakoli
Neural Information Processing Systems (NeurIPS), 14134-14144, 2019
292019
Learning to represent action values as a hypergraph on the action vertices
A Tavakoli, M Fatemi, P Kormushev
International Conference on Learning Representations (ICLR), 2021
172021
Exploring restart distributions
A Tavakoli, V Levdik, R Islam, CM Smith, P Kormushev
Multidisciplinary Conference on Reinforcement Learning and Decision Making …, 2019
16*2019
Crowdsourced coordination through online games
A Tavakoli, H Nalbandian, N Ayanian
ACM/IEEE International Conference on Human-Robot Interaction (HRI), 527-528, 2016
92016
Orchestrated value mapping for reinforcement learning
M Fatemi, A Tavakoli
International Conference on Learning Representations (ICLR), 2022
52022
On Structural and Temporal Credit Assignment in Reinforcement Learning
A Tavakoli
Imperial College London, 2021
22021
Constructive neural network models for studying Bell nonlocality and entanglement
TM Krivachy, Y Cai, D Cavalcanti, A Tavakoli, N Gisin, N Brunner
2022
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Articles 1–11