2 citations · 7 across the 13 of their papers we have counts for
3 papers · 1 filter
Domain Randomization via Entropy Maximization
Gabriele Tiboni, Pascal Klink, Jan Peters +3
Varying dynamics parameters in simulation is a popular Domain Randomization (DR) approach for overcoming the reality gap in Reinforcement Learning (RL). Nevertheless, DR heavily hi…
TempoRL: laser pulse temporal shape optimization with Deep Reinforcement Learning
Francesco Capuano, Davorin Peceli, Gabriele Tiboni +2
High Power Laser's (HPL) optimal performance is essential for the success of a wide variety of experimental tasks related to light-matter interactions. Traditionally, HPL parameter…
Domain Randomization for Robust, Affordable and Effective Closed-loop Control of Soft Robots
Gabriele Tiboni, Andrea Protopapa, Tatiana Tommasi +1
Soft robots are gaining popularity thanks to their intrinsic safety to contacts and adaptability. However, the potentially infinite number of Degrees of Freedom makes their modelin…