11 citations · 31 across the 6 of their papers we have counts for
3 papers · 1 filter
Do Androids Dream of Electric Fences? Safety-Aware Reinforcement Learning with Latent Shielding
Chloe He, Borja G. Leon, Francesco Belardinelli
The growing trend of fledgling reinforcement learning systems making their way into real-world applications has been accompanied by growing concerns for their safety and robustness…
In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications
Borja G. León, Murray Shanahan, Francesco Belardinelli
We address the problem of building agents whose goal is to learn to execute out-of distribution (OOD) multi-task instructions expressed in temporal logic (TL) by using deep reinfor…
An Abstraction-based Method to Check Multi-Agent Deep Reinforcement-Learning Behaviors
Pierre El Mqirmi, Francesco Belardinelli, Borja G. León
Multi-agent reinforcement learning (RL) often struggles to ensure the safe behaviours of the learning agents, and therefore it is generally not adapted to safety-critical applicati…