Samy Mokeddem
@samymokeddem.bsky.social
Excited to share my first paper as first author: “Distributed e-fuel hubs: Concept and case study”
In this work, we introduce Distributed E-Fuel Hubs, small units, highly integrated in their environment and distributed across an area for local e-fuel production.
👉 damien-ernst.be/2025/08/13/d...
In this work, we introduce Distributed E-Fuel Hubs, small units, highly integrated in their environment and distributed across an area for local e-fuel production.
👉 damien-ernst.be/2025/08/13/d...
Distributed e-fuel hubs: Concept and case study
Authors: Samy Mokeddem, Bardhyl Miftari, Victor Dachet, Guillaume Derval, Damien Ernst Access to the paper: Sectors such as steel, cement, aviation, and shipping are among the most challenging to d…
damien-ernst.be
August 18, 2025 at 4:36 PM
Excited to share my first paper as first author: “Distributed e-fuel hubs: Concept and case study”
In this work, we introduce Distributed E-Fuel Hubs, small units, highly integrated in their environment and distributed across an area for local e-fuel production.
👉 damien-ernst.be/2025/08/13/d...
In this work, we introduce Distributed E-Fuel Hubs, small units, highly integrated in their environment and distributed across an area for local e-fuel production.
👉 damien-ernst.be/2025/08/13/d...
Reposted by Samy Mokeddem
Check our work on max entropy RL! We introduce an off-policy method to maximize the entropy of the future state-action visitation distribution, leading to policies that explore effectively and achieve high performance 🎯
Link 📑 arxiv.org/abs/2412.06655
#RL #MaxEntRL #Exploration
Link 📑 arxiv.org/abs/2412.06655
#RL #MaxEntRL #Exploration
Off-Policy Maximum Entropy RL with Future State and Action Visitation Measures
We introduce a new maximum entropy reinforcement learning framework based on the distribution of states and actions visited by a policy. More precisely, an intrinsic reward function is added to the re...
arxiv.org
December 13, 2024 at 9:22 AM
Check our work on max entropy RL! We introduce an off-policy method to maximize the entropy of the future state-action visitation distribution, leading to policies that explore effectively and achieve high performance 🎯
Link 📑 arxiv.org/abs/2412.06655
#RL #MaxEntRL #Exploration
Link 📑 arxiv.org/abs/2412.06655
#RL #MaxEntRL #Exploration