1 citations · 1 across the 6 of their papers we have counts for
4 papers · 1 filter
Leave It Better Than Found: Value-Guided Cooperation in Sequential Tasks
Mario Gomez Andreu, Michael Amir, Antonio Marino +3
We consider the problem of sequential task continuation, where one robot acts in a workspace that has been affected by a previous robot. Current approaches in multi-robot cooperati…
Weakly Supervised Discovery of Motion Styles for Compositional Robot Control
Heedo Woo, Antonio Marino, Eduardo Sebastián +1
When a robot possesses more degrees of freedom than a task requires, multiple trajectories can achieve the same objective using distinct motion styles. Compositional robot control…
Sampling-Based Coordination-Informed Multi-Objective Multi-Robot Reinforcement Learning
Antonio Marino, Esteban Restrepo, Soon-jo Chung +2
Multi-robot systems must simultaneously optimize competing objectives while maintaining coordinated behavior. Existing multi-agent reinforcement learning approaches often rely on f…
Stable Transformer-Actor-Critic Model Predictive Control: A Contraction Analysis Approach
Antonio Marino, Valerio Modugno, Marco Cognetti
Actor-Critic Model Predictive Control (MPC) effectively addresses complex, non-convex control problems, but guaranteeing the closed-loop stability of sequence-based learning models…