Learning to Drive in a Day. - Alex Kendall; Jeffrey Hawke; David Janz; Przemyslaw Mazur; Daniele Reda; John-Mark Allen; Vinh-Dieu Lam; Alex Bewley; Amar Shah 001 (ICRA, 2019)

Urban Driving with Conditional Imitation Learning. - Jeffrey Hawke; Richard Shen; Corina Gurau; Siddharth Sharma; Daniele Reda; Nikolay Nikolov; Przemyslaw Mazur; Sean Micklethwaite; Nicolas Griffiths; Amar Shah 001; Alex Kendall (ICRA, 2020)

Learning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement Learning. - Daniele Reda; Tianxin Tao; Michiel van de Panne (MIG, 2020)

Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation. - Adam Scibior; Vasileios Lioutas; Daniele Reda; Peyman Bateni; Frank Wood (ITSC, 2021)

Learning to Brachiate via Simplified Model Imitation. - Daniele Reda; Hung Yu Ling; Michiel van de Panne (SIGGRAPH (Conference Paper Track), 2022)

Evaluating Vision Transformer Methods for Deep Reinforcement Learning from Pixels. - Tianxin Tao; Daniele Reda; Michiel van de Panne (CoRR, 2022)

Physical Simulation of Balance Recovery after a Push. - Alexis Jensen; Thomas Chatagnon; Niloofar Khoshsiyar; Daniele Reda; Michiel van de Panne; Charles Pontonnier; Julien Pettré (MIG, 2023)

Physics-based Motion Retargeting from Sparse Inputs. - Daniele Reda; Jungdam Won; Yuting Ye; Michiel van de Panne; Alexander W. Winkler (Proc. ACM Comput. Graph. Interact. Tech., 2023)

Flexible Motion In-betweening with Diffusion Models. - Setareh Cohan; Guy Tevet; Daniele Reda; Xue Bin Peng; Michiel van de Panne (SIGGRAPH (Conference Paper Track), 2024)

CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control. - Guy Tevet; Sigal Raab; Setareh Cohan; Daniele Reda; Zhengyi Luo 002; Xue Bin Peng; Amit Haim Bermano; Michiel van de Panne (ICLR, 2025)

Diffusion-based Planning with Learned Viability Filters. - Nicholas Ioannidis; Daniele Reda; Setareh Cohan; Michiel van de Panne (Proc. ACM Comput. Graph. Interact. Tech., 2025)