Alessandro Abate
34 papers · 2020–2026 · 7 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 47% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Alessandro Abate?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Thom Badings, Luca Laurenti, Licio Romao
16 papers
· 2021–2026
· AAAI, L4DC, IJCAI
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Best-Effort Policies for Robust Markov Decision Processes
AAAI 2026
Efficient Solution and Learning of Robust Factored MDPs
AAAI 2026
Incremental Data-Driven Policy Synthesis via Game Abstractions
AAAI 2026
Scalable Verification of Neural Control Barrier Functions Using Linear Bound Propagation
L4DC 2026
Data-Driven Yet Formal Policy Synthesis for Stochastic Nonlinear Dynamical Systems
L4DC 2025
SPoRt - Safe Policy Ratio: Certified Training and Deployment of Task Policies in Model-Free RL
IJCAI 2025
Temporal Logic Control for Nonlinear Stochastic Systems Under Unknown Disturbances
L4DC 2025
Bounded robustness in reinforcement learning via lexicographic objectives
L4DC 2024
Reasoning about Causality in Games (Abstract Reprint)
AAAI 2024
Data-driven memory-dependent abstractions of dynamical systems
L4DC 2023
Misspecification in Inverse Reinforcement Learning
AAAI 2023
On the limitations of Markovian rewards to express multi-objective, risk-sensitive, and modal tasks
UAI 2023
Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty
AAAI 2023
Lexicographic Multi-Objective Reinforcement Learning
IJCAI 2022
Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noise
AAAI 2022
Certification of iterative predictions in Bayesian neural networks
UAI 2021
6 papers whose co-authors appear nowhere else under this name
DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
ICLR 2025
Deep Bayesian Active Learning for Preference Modeling in Large Language Models
NeurIPS 2024
Learning robust policies for uncertain parametric Markov decision processes
L4DC 2024
Walking the Values in Bayesian Inverse Reinforcement Learning
UAI 2024
Low Emission Building Control with Zero-Shot Reinforcement Learning
AAAI 2023
A Randomized Algorithm to Reduce the Support of Discrete Measures
NeurIPS 2020