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03/06/2023
Safe Reinforcement Learning via Probabilistic Logic Shields
Safe Reinforcement learning (Safe RL) aims at learning optimal policies ...
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11/07/2022
Learning Probabilistic Temporal Safety Properties from Examples in Relational Domains
We propose a framework for learning a fragment of probabilistic computat...
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09/26/2020
Online Learning of Non-Markovian Reward Models
There are situations in which an agent should receive rewards only after...
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08/26/2020
Reputation-driven Decision-making in Networks of Stochastic Agents
This paper studies multi-agent systems that involve networks of self-int...
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01/25/2020
Learning Non-Markovian Reward Models in MDPs
There are situations in which an agent should receive rewards only after...
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05/14/2018
Maximizing Expected Impact in an Agent Reputation Network -- Technical Report
Many multi-agent systems (MASs) are situated in stochastic environments....
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05/02/2017
Imagining Probabilistic Belief Change as Imaging (Technical Report)
Imaging is a form of probabilistic belief change which could be employed...
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07/03/2016
A Hybrid POMDP-BDI Agent Architecture with Online Stochastic Planning and Plan Caching
This article presents an agent architecture for controlling an autonomou...
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04/07/2016
Revising Incompletely Specified Convex Probabilistic Belief Bases
We propose a method for an agent to revise its incomplete probabilistic ...
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04/07/2016