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ORCIDWendyam Eric Lionel Ilboudo
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2020 – today
- 2024
[i5]Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Takamitsu Matsubara:
Domains as Objectives: Domain-Uncertainty-Aware Policy Optimization through Explicit Multi-Domain Convex Coverage Set Learning. CoRR abs/2410.04719 (2024)- 2023
- [j3]Wendyam Eric Lionel Ilboudo
, Taisuke Kobayashi, Takamitsu Matsubara:
AdaTerm: Adaptive T-distribution estimated robust moments for Noise-Robust stochastic gradient optimization. Neurocomputing 557: 126692 (2023) - [c2]Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Takamitsu Matsubara:
Domains as Objectives: Multi-Domain Reinforcement Learning with Convex-Coverage Set Learning for Domain Uncertainty Awareness. IROS 2023: 5622-5629 - 2022
- [j2]Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto:
Robust Stochastic Gradient Descent With Student-t Distribution Based First-Order Momentum. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1324-1337 (2022) - [i4]Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto:
AdaTerm: Adaptive T-Distribution Estimated Robust Moments towards Noise-Robust Stochastic Gradient Optimizer. CoRR abs/2201.06714 (2022) - 2021
- [j1]Taisuke Kobayashi, Wendyam Eric Lionel Ilboudo:
t-soft update of target network for deep reinforcement learning. Neural Networks 136: 63-71 (2021) - [c1]Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto:
Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning. IROS 2021: 7851-7857 - [i3]Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto:
Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning. CoRR abs/2108.00625 (2021) - 2020
- [i2]Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto:
TAdam: A Robust Stochastic Gradient Optimizer. CoRR abs/2003.00179 (2020) - [i1]Taisuke Kobayashi, Wendyam Eric Lionel Ilboudo:
t-Soft Update of Target Network for Deep Reinforcement Learning. CoRR abs/2008.10861 (2020)
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