Our Recent Works

ICAPS2021-LOGO
  • 7 March 2022

Online Planning for F1 Race Strategy Identification

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ICML-2021-Paper-Awards
  • 7 March 2022

Subgaussian Importance Sampling for Off-Policy Evaluation and Learning

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JMLR
  • 7 March 2022

Safe Policy Iteration: A Monotonically Improving Approximate Policy Iteration Approach

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JMLR
  • 7 March 2022

MushroomRL: Simplifying Reinforcement Learning Research

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AAAI-Logo
  • 7 March 2022

Exploiting Opponents under Utility Constraints in Extensive-Form Games

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AAAI-Logo
  • 7 March 2022

The Evolutionary Dynamics of Soft-Max Policy Gradient in Games

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Artificial-Intelligence-Cover
  • 7 March 2022

Committing to correlated strategies with multiple leaders

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JAIR-logo
  • 7 March 2022

Election Manipulation on Social Networks: Seeding, Edge Removal, Edge Addition

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Artificial-Intelligence-Cover
  • 7 March 2022

Bayesian Agency: Linear versus Tractable Contracts

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PMLR
  • 7 March 2022

Connecting Optimal Ex-Ante Collusion in Teams to Extensive-Form Correlation: Faster Algorithms and Positive Complexity Results

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PMLR
  • 7 March 2022

Multi-Receiver Online Bayesian Persuasion

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AAAI-Logo
  • 7 March 2022

Bayesian Persuasion in Online Settings

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Copertina Special topics in Information Technology
  • 7 March 2022

Configurable Environments in Reinforcement Learning: An Overview

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AGU_FallMeeting21
  • 4 March 2022

Advancing drought monitoring via feature extraction

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Journal of Energy Storage
  • 4 March 2022

A voltage dynamic-based state of charge estimation method for batteries storage systems

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NeurIPS Proceedings
  • 4 March 2022

Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning

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NeurIPS Proceedings
  • 4 March 2022

Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection

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PMLR
  • 4 March 2022

Time-variant variational transfer for value functions

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openreview_logo
  • 4 March 2022

Policy Optimization via Optimal Policy Evaluation

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openreview_logo
  • 4 March 2022

Goal-Directed Planning via Hindsight Experience Replay

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openreview_logo
  • 4 March 2022

Exploiting Minimum-Variance Policy Evaluation for Policy Optimization

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Machine-Learning-and-Knowledge-Discovery-in-Database
  • 4 March 2022

Conservative Online Convex Optimization

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Machine-Learning-and-Knowledge-Discovery-in-Database
  • 4 March 2022

Exploiting History Data for Nonstationary Multi-armed Bandit

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Machine-Learning
  • 4 March 2022

Policy space identification in configurable environments

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Upstream-oil-and-gas-technology
  • 4 March 2022

Data-driven indicators for the detection and prediction of stuck-pipe events in oil&gas drilling operations

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Machine-Learning
  • 4 March 2022

Dealing with multiple experts and non-stationarity in inverse reinforcement learning: an application to real-life problems

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Nature logo
  • 4 March 2022

Quantum compiling by deep reinforcement learning

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PMLR
  • 4 March 2022

Provably Efficient Learning of Transferable Rewards

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PMLR
  • 4 March 2022

Leveraging Good Representations in Linear Contextual Bandits

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openreview_logo
  • 4 March 2022

Meta Learning the Step Size in Policy Gradient Methods

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openreview_logo
  • 4 March 2022

Learning to Explore a Class of Multiple Reward-Free Environments

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openreview_logo
  • 4 March 2022

A Policy Gradient Method for Task-Agnostic Exploration

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Ieeexplore-logo
  • 4 March 2022

Inferring Functional Properties from Fluid Dynamics Features

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JMLR
  • 4 March 2022

Gaussian Approximation for Bias Reduction in Q-Learning

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AAAI-Logo
  • 5 March 2021

Policy Optimization as Online Learning with Mediator Feedback

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AAAI-2021
  • 5 March 2021

Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate

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AAAI-Logo
  • 5 March 2021

Newton Optimization on Helmholtz Decomposition for Continuous Games

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AAAI-Logo
  • 15 February 2021

Learning Probably Approximately Correct Maximin Strategies in Games with Infinite Strategy Spaces

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AAAI-Logo
  • 15 February 2021

Online Learning in Non-Cooperative Configurable Markov Decision Process

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NeurIPS2020
  • 15 February 2021

Inverse Reinforcement Learning from a Gradient-based Learner

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NeurIPS2020
  • 15 February 2021

An Asymptotically Optimal Primal-Dual Incremental Algorithm for Contextual Linear Bandits

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NeurIPS2020
  • 15 February 2021

No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium

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NeurIPS2020
  • 15 February 2021

Online Bayesian Persuasion

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ICML 2020
  • 15 February 2021

Sequential transfer in reinforcement learning with a generative model

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ICML 2020
  • 15 February 2021

Control frequency adaptation via action persistence in batch reinforcement learning

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AAMAS2020
  • 15 February 2021

Driving exploration by maximum distribution in gaussian process bandits

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AAMAS2020
  • 15 February 2021

Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces

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polimi
  • 15 February 2021

A combinatorial-bandit algorithm for the online joint bid/budget optimization of pay-per-click advertising campaigns

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polimi
  • 15 February 2021

Dealing with interdependencies and uncertainty in multi-channel advertising campaigns optimization

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polimi
  • 15 February 2021

Targeting optimization for internet advertising by learning from logged bandit feedback

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polimi
  • 15 February 2021

A characterization of quasi-perfect equilibria

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polimi
  • 15 February 2021

Combining reinforcement learning with rule-based controllers for transparent and general decision-making in autonomous driving

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Recent Papers

Programming is a woman’s job

Programming is a woman’s job

20 July 2023
Artificial intelligence in everyday life

Artificial intelligence in everyday life

7 March 2022
Federated Learning To Predict Oxygen Needs

Federated Learning To Predict Oxygen Needs

7 March 2022
Deepfake: typologies and reflections, deep learning and GANs

Deepfake: typologies and reflections, deep learning and GANs

7 March 2022
Artificial Neural Networks to Understand the Functioning of the Mind

Artificial Neural Networks to Understand the Functioning of the Mind

7 March 2022
AI algorithm for diagnosing Covid-19 and other pathologies

AI algorithm for diagnosing Covid-19 and other pathologies

7 March 2022
Online Planning for F1 Race Strategy Identification

Online Planning for F1 Race Strategy Identification

7 March 2022
Subgaussian Importance Sampling for Off-Policy Evaluation and Learning

Subgaussian Importance Sampling for Off-Policy Evaluation and Learning

7 March 2022

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