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M\'elodie Daniel — most-cited papers & profile · Reinforcement Learning
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M\'elodie Daniel
10
papers ·
2
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
DRL-Based Pose Control for Double-Ackermann Robots Under Actuation Uncertainties
2026
ManeuverNet: A Soft Actor-Critic Framework for Precise Maneuvering of Double-Ackermann-Steering Robots with Optimized Reward Functions
2026
Towards Safe Maneuvering of Double-Ackermann-Steering Robots with a Soft Actor-Critic Framework
2025
FootstepNet: an Efficient Actor-Critic Method for Fast On-line Bipedal Footstep Planning and Forecasting
2024
Top co-authors
Aly Magassouba
· 3
Miguel Aranda
· 3
and Olivier Ly
· 2
Kohio Deflesselle
· 2
Olivier Ly
· 2
Cl\'ement Gaspard
· 1
Gr\'egoire Passault
· 1
Oussama Zaim
· 1
Topics
Model-Based RL
Policy Gradient
Value-Based
Safe RL