Tavakoli, Arash

7 publications

TMLR 2025 Learning in Complex Action Spaces Without Policy Gradients Arash Tavakoli, Sina Ghiassian, Nemanja Rakicevic

ICLR 2022 On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks Maximilian Seitzer, Arash Tavakoli, Dimitrije Antic, Georg Martius

ICLR 2022 Orchestrated Value Mapping for Reinforcement Learning Mehdi Fatemi, Arash Tavakoli

ICLR 2021 Learning to Represent Action Values as a Hypergraph on the Action Vertices Arash Tavakoli, Mehdi Fatemi, Petar Kormushev

NeurIPS 2019 Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning Harm Van Seijen, Mehdi Fatemi, Arash Tavakoli

AAAI 2018 Action Branching Architectures for Deep Reinforcement Learning Arash Tavakoli, Fabio Pardo, Petar Kormushev

ICML 2018 Time Limits in Reinforcement Learning Fabio Pardo, Arash Tavakoli, Vitaly Levdik, Petar Kormushev