Parameterized Projected Bellman Operator. - Théo Vincent; Alberto Maria Metelli; Boris Belousov; Jan Peters 001; Marcello Restelli; Carlo D'Eramo (AAAI, 2024)

Reinforcement Learning for Athletic Intelligence: Lessons from the 1st "AI Olympics with RealAIGym" Competition. - Felix Wiebe; Niccolò Turcato; Alberto Dalla Libera; Chi Zhang; Théo Vincent; Shubham Vyas; Giulio Giacomuzzo; Ruggero Carli; Diego Romeres; Akhil Sathuluri; Markus Zimmermann; Boris Belousov; et al. (IJCAI, 2024)

Iterated Q-Network: Beyond the One-Step Bellman Operator. - Théo Vincent; Daniel Palenicek; Boris Belousov; Jan Peters 001; Carlo D'Eramo (CoRR, 2024)

Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning. - Théo Vincent; Fabian Wahren; Jan Peters 001; Boris Belousov; Carlo D'Eramo (ICLR, 2025)

Iterated Q-Network: Beyond One-Step Bellman Updates in Deep Reinforcement Learning. - Théo Vincent; Daniel Palenicek; Boris Belousov; Jan Peters 001; Carlo D'Eramo (Trans. Mach. Learn. Res., 2025)

Eau De Q-Network: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning. - Théo Vincent; Tim Lukas Faust; Yogesh Tripathi; Jan Peters 001; Carlo D'Eramo (CoRR, 2025)

Deep Reinforcement Learning Agents are not even close to Human Intelligence. - Quentin Delfosse; Jannis Blüml; Fabian Tatai; Théo Vincent; Bjarne Gregori; Elisabeth Dillies; Jan Peters 001; Constantin A. Rothkopf; Kristian Kersting (CoRR, 2025)

Bridging the Performance Gap Between Target-Free and Target-Based Reinforcement Learning With Iterated Q-Learning. - Théo Vincent; Yogesh Tripathi; Tim Lukas Faust; Yaniv Oren; Jan Peters 001; Carlo D'Eramo (CoRR, 2025)