Wendyam Eric Lionel Ilboudo

According to our database, Wendyam Eric Lionel Ilboudo authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Domains as Objectives: Domain-Uncertainty-Aware Policy Optimization through Explicit Multi-Domain Convex Coverage Set Learning.

Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Takamitsu Matsubara

CoRR, 2024

2023

AdaTerm: Adaptive T-distribution estimated robust moments for Noise-Robust stochastic gradient optimization.

Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Takamitsu Matsubara

Neurocomputing, November, 2023

Domains as Objectives: Multi-Domain Reinforcement Learning with Convex-Coverage Set Learning for Domain Uncertainty Awareness.

Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Takamitsu Matsubara

IROS, 2023

2022

Robust Stochastic Gradient Descent With Student-t Distribution Based First-Order Momentum.

Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto

IEEE Trans. Neural Networks Learn. Syst., 2022

AdaTerm: Adaptive T-Distribution Estimated Robust Moments towards Noise-Robust Stochastic Gradient Optimizer.

Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto

CoRR, 2022

2021

t-soft update of target network for deep reinforcement learning.

Taisuke Kobayashi, Wendyam Eric Lionel Ilboudo

Neural Networks, 2021

Adaptive t-Momentum-based Optimization for Unknown Ratio of Outliers in Amateur Data in Imitation Learning.

Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

TAdam: A Robust Stochastic Gradient Optimizer.

Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto

CoRR, 2020