Search Results for author: Théo Vincent

Found 2 papers, 1 papers with code

Iterated $Q$-Network: Beyond the One-Step Bellman Operator

no code implementations • 4 Mar 2024 • Théo Vincent, Daniel Palenicek, Boris Belousov, Jan Peters, Carlo D'Eramo

Value-based Reinforcement Learning (RL) methods rely on the application of the Bellman operator, which needs to be approximated from samples.

Atari Games Continuous Control +1

Paper
Add Code

Parameterized Projected Bellman Operator

1 code implementation • 20 Dec 2023 • Théo Vincent, Alberto Maria Metelli, Boris Belousov, Jan Peters, Marcello Restelli, Carlo D'Eramo

We formulate an optimization problem to learn PBO for generic sequential decision-making problems, and we theoretically analyze its properties in two representative classes of RL problems.

Decision Making Reinforcement Learning (RL)

Paper
Code

Cannot find the paper you are looking for? You can Submit a new open access paper.