Alessandro Allievi

4 papers · 2020–2024 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird

Venues

AAAI (3) CoRL (1)

Top co-authors

Peter Stone (4) Scott Niekum (3) W. Bradley Knox (3) Qiping Zhang (2) Yuchen Cui (2) Sahil Jain (1) Serena Booth (1) Holger Banzhaf (1) Felix Schmitt (1) Brad Knox (1)

Research topics

Machine Learning (4) Learning Types (4) Artificial Intelligence (3) Core AI (3) Reinforcement Learning (2) Applications (2) Optimization & Theory (2) Application Areas (1) Methods (1)

Keywords

robot manipulation (2) reward function (2) implicit human feedback (2) reward design (2) reinforcement learning (2) cost function (1) deep neural network (1) autonomous vehicle (1) sparse reward (1) reward inference (1) facial expression recognition (1) safety analysis (1) reward ranking (1) facial reaction (1) transfer learning (1) autonomous driving (1) policy learning (1) policy improvement (1)

Papers

Reward (Mis)design for Autonomous Driving (Abstract Reprint) AAAI 2024 The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications AAAI 2023 Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback AAAI 2021 The EMPATHIC Framework for Task Learning from Implicit Human Feedback CoRL 2020