Daniele Reda

20 papers A* 3C 2Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control.
ICLR
Guy Tevet, Sigal Raab, Setareh Cohan, Daniele Reda, Zhengyi Luo, Xue Bin Peng, Amit Haim Bermano, Michiel van de Panne
2025 J jnl
Diffusion-based Planning with Learned Viability Filters.
CoRR
Nicholas Ioannidis, Daniele Reda, Setareh Cohan, Michiel van de Panne
2025 J jnl
Diffusion-based Planning with Learned Viability Filters.
Proc. ACM Comput. Graph. Interact. Tech.
Nicholas Ioannidis, Daniele Reda, Setareh Cohan, Michiel van de Panne
2024 J jnl
CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control.
CoRR
Guy Tevet, Sigal Raab, Setareh Cohan, Daniele Reda, Zhengyi Luo, Xue Bin Peng, Amit H. Bermano, Michiel van de Panne
2024 — conf
Flexible Motion In-betweening with Diffusion Models.
SIGGRAPH (Conference Paper Track)
Setareh Cohan, Guy Tevet, Daniele Reda, Xue Bin Peng, Michiel van de Panne
2024 J jnl
Flexible Motion In-betweening with Diffusion Models.
CoRR
Setareh Cohan, Guy Tevet, Daniele Reda, Xue Bin Peng, Michiel van de Panne
2023 C conf
Physical Simulation of Balance Recovery after a Push.
MIG
Alexis Jensen, Thomas Chatagnon, Niloofar Khoshsiyar, Daniele Reda, Michiel van de Panne, Charles Pontonnier, Julien Pettré
2023 J jnl
Physics-based Motion Retargeting from Sparse Inputs.
CoRR
Daniele Reda, Jungdam Won, Yuting Ye, Michiel van de Panne, Alexander W. Winkler
2023 J jnl
Physics-based Motion Retargeting from Sparse Inputs.
Proc. ACM Comput. Graph. Interact. Tech.
Daniele Reda, Jungdam Won, Yuting Ye, Michiel van de Panne, Alexander W. Winkler
2022 J jnl
Evaluating Vision Transformer Methods for Deep Reinforcement Learning from Pixels.
CoRR
Tianxin Tao, Daniele Reda, Michiel van de Panne
2022 — conf
Learning to Brachiate via Simplified Model Imitation.
SIGGRAPH (Conference Paper Track)
Daniele Reda, Hung Yu Ling, Michiel van de Panne
2022 J jnl
Learning to Brachiate via Simplified Model Imitation.
CoRR
Daniele Reda, Hung Yu Ling, Michiel van de Panne
2021 — conf
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation.
ITSC
Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni, Frank Wood
2021 J jnl
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation.
CoRR
Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni, Frank Wood
2020 C conf
Learning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement Learning.
MIG
Daniele Reda, Tianxin Tao, Michiel van de Panne
2020 J jnl
Learning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement Learning.
CoRR
Daniele Reda, Tianxin Tao, Michiel van de Panne
2020 A* conf
Urban Driving with Conditional Imitation Learning.
ICRA
Jeffrey Hawke, Richard Shen, Corina Gurau, Siddharth Sharma, Daniele Reda, Nikolay Nikolov, Przemyslaw Mazur, Sean Micklethwaite, Nicolas Griffiths, Amar Shah, Alex Kendall
2019 A* conf
Learning to Drive in a Day.
ICRA
Alex Kendall, Jeffrey Hawke, David Janz, Przemyslaw Mazur, Daniele Reda, John-Mark Allen, Vinh-Dieu Lam, Alex Bewley, Amar Shah
2019 J jnl
Urban Driving with Conditional Imitation Learning.
CoRR
Jeffrey Hawke, Richard Shen, Corina Gurau, Siddharth Sharma, Daniele Reda, Nikolay Nikolov, Przemyslaw Mazur, Sean Micklethwaite, Nicolas Griffiths, Amar Shah, Alex Kendall
2018 J jnl
Learning to Drive in a Day.
CoRR
Alex Kendall, Jeffrey Hawke, David Janz, Przemyslaw Mazur, Daniele Reda, John-Mark Allen, Vinh-Dieu Lam, Alex Bewley, Amar Shah