activity
20122023
most citedReasoning about Knowledge and Strategies: Epistemic Strategy Logic

40 citations · 134 across the 31 of their papers we have counts for

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7 papers · 1 filter

cs.AI2023

Characterising Decision Theories with Mechanised Causal Graphs

Matt MacDermott, Tom Everitt, Francesco Belardinelli

How should my own decisions affect my beliefs about the outcomes I expect to achieve? If taking a certain action makes me view myself as a certain type of person, it might affect h…

cs.AI2023★ 2 cited

Approximate Shielding of Atari Agents for Safe Exploration

Alexander W. Goodall, Francesco Belardinelli

Balancing exploration and conservatism in the constrained setting is an important problem if we are to use reinforcement learning for meaningful tasks in the real world. In this pa…

cs.AI2022★ 1 cited

Argumentative Reward Learning: Reasoning About Human Preferences

Francis Rhys Ward, Francesco Belardinelli, Francesca Toni

We define a novel neuro-symbolic framework, argumentative reward learning, which combines preference-based argumentation with existing approaches to reinforcement learning from hum…

cs.AI2021★ 1 cited

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…

cs.AI2021

Aggregating Bipolar Opinions (With Appendix)

Stefan Lauren, Francesco Belardinelli, Francesca Toni

We introduce a novel method to aggregate Bipolar Argumentation (BA) Frameworks expressing opinions by different parties in debates. We use Bipolar Assumption-based Argumentation (A…

cs.AI2020★ 11 cited

Extended Markov Games to Learn Multiple Tasks in Multi-Agent Reinforcement Learning

Borja G. León, Francesco Belardinelli

The combination of Formal Methods with Reinforcement Learning (RL) has recently attracted interest as a way for single-agent RL to learn multiple-task specifications. In this paper…

cs.AI2017★ 7 cited

Relaxing Exclusive Control in Boolean Games

Francesco Belardinelli, Umberto Grandi, Andreas Herzig +4

In the typical framework for boolean games (BG) each player can change the truth value of some propositional atoms, while attempting to make her goal true. In standard BG goals are…