Pierluca D'Oro

9 papers · 2020–2025 · 4 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) ❓ The Questioner

Venues

ICLR (5) AAAI (2) ICCV (1) NeurIPS (1)

Top co-authors

Amy Zhang (3) Pierre-Luc Bacon (3) Marcello Restelli (2) Matteo Papini (2) Mikael Henaff (2) Aaron Courville (2) Roberta Raileanu (2) Evgenii Nikishin (2) Alberto Maria Metelli (2) Martin Klissarov (2)

Research topics

Artificial Intelligence (6) Core AI (6) Machine Learning (5) Reinforcement Learning (5) Methods (5) Deep Learning (4) Learning Types · Deep Learning (4) Learning Types · Machine Learning (3) Application Areas (1) Core Methods (1)

Keywords

reinforcement learning (4) model-based reinforcement learning (3) large language model (2) policy gradient (2) policy optimization (2) deep reinforcement learning (2) regret minimization (1) importance sampling (1) value function (1) policy search (1) reward function (1) off-policy learning (1) hyperparameter tuning (1) intrinsic motivation (1) multimodal large language model (1) model-free reinforcement learning (1) intrinsic reward (1) randomized exploration (1) transition model (1) parameter reset (1)

Papers

Controlling Multimodal LLMs via Reward-guided Decoding ICCV 2025 MaestroMotif: Skill Design from Artificial Intelligence Feedback ICLR 2025 Towards General-Purpose Model-Free Reinforcement Learning ICLR 2025 Motif: Intrinsic Motivation from Artificial Intelligence Feedback ICLR 2024 The Curse of Diversity in Ensemble-Based Exploration ICLR 2024 Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier ICLR 2023 Policy Optimization as Online Learning with Mediator Feedback AAAI 2021 Gradient-Aware Model-Based Policy Search AAAI 2020 How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization NeurIPS 2020