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Home/Authors/Edwin Hamel-De le Court

Edwin Hamel-De le Court

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

ML×2Multiagent×1AI×1Logic×1

Frequent co-authors

Francesco Belardinelli2×
Omar Adalat1×
Thom Badings1×
Alessandro Abate1×
Francesco Fabiano1×

Research Timeline

2026
Robust Shielding for Safe Reinforcement Learning

The paper introduces a novel shielding framework for Robust MDPs (RMDPs) that guarantees safety under worst-case transition probabilities, enabling safe reinforcement learning even when transition dynamics are unknown.

Contract-Based Compositional Shielding for Safe Multi-Agent Reinforcement Learning

This paper proposes a method for ensuring safety in multi-agent reinforce learning through decentralized execution, using a shared global specification and a non-stationary multi-armed bandit.

Highlighted terms show continued research focus across papers

Papers

cs.LGcs.MAEmpiricalRecentJun 12, 2026

Contract-Based Compositional Shielding for Safe Multi-Agent Reinforcement Learning

Omar Adalat, Edwin Hamel-De le Court, Francesco Belardinelli

This paper proposes a method for ensuring safety in multi-agent reinforce learning through decentralized execution, using a shared global specification and a non-stationary multi-armed bandit.

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cs.AIcs.LGcs.LORecent
May 29, 2026

Robust Shielding for Safe Reinforcement Learning

Edwin Hamel-De le Court, Thom Badings, Alessandro Abate, Francesco Belardinelli +1 more

The paper introduces a novel shielding framework for Robust MDPs (RMDPs) that guarantees safety under worst-case transition probabilities, enabling safe reinforcement learning even when transition dyn…

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