Daniele Reda

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Temporal Coherence

Multi Agent Simulation

Reinforcement Learning

Diffusion Models

Top Venues

SIGGRAPH (Conference Paper Track)

Publications

Setareh Cohan, Guy Tevet, Daniele Reda, Xue Bin Peng, Michiel van de Panne
Flexible Motion In-betweening with Diffusion Models. CoRR (2024)
Setareh Cohan, Guy Tevet, Daniele Reda, Xue Bin Peng, Michiel van de Panne
Flexible Motion In-betweening with Diffusion Models. SIGGRAPH (Conference Paper Track) (2024)
Daniele Reda, Jungdam Won, Yuting Ye, Michiel van de Panne, Alexander W. Winkler
Physics-based Motion Retargeting from Sparse Inputs. Proc. ACM Comput. Graph. Interact. Tech. 6 (3) (2023)
Alexis Jensen, Thomas Chatagnon, Niloofar Khoshsiyar, Daniele Reda, Michiel van de Panne, Charles Pontonnier, Julien Pettré
Physical Simulation of Balance Recovery after a Push. MIG (2023)
Daniele Reda, Jungdam Won, Yuting Ye, Michiel van de Panne, Alexander W. Winkler
Physics-based Motion Retargeting from Sparse Inputs. CoRR (2023)
Daniele Reda, Hung Yu Ling, Michiel van de Panne
Learning to Brachiate via Simplified Model Imitation. SIGGRAPH (Conference Paper Track) (2022)
Tianxin Tao, Daniele Reda, Michiel van de Panne
Evaluating Vision Transformer Methods for Deep Reinforcement Learning from Pixels. CoRR (2022)
Daniele Reda, Hung Yu Ling, Michiel van de Panne
Learning to Brachiate via Simplified Model Imitation. CoRR (2022)
Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni, Frank Wood
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation. CoRR (2021)
Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni, Frank Wood
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation. ITSC (2021)
Daniele Reda, Tianxin Tao, Michiel van de Panne
Learning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement Learning. MIG (2020)
Daniele Reda, Tianxin Tao, Michiel van de Panne
Learning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement Learning. CoRR (2020)
Jeffrey Hawke, Richard Shen, Corina Gurau, Siddharth Sharma, Daniele Reda, Nikolay Nikolov, Przemyslaw Mazur, Sean Micklethwaite, Nicolas Griffiths, Amar Shah, Alex Kendall
Urban Driving with Conditional Imitation Learning. ICRA (2020)
Alex Kendall, Jeffrey Hawke, David Janz, Przemyslaw Mazur, Daniele Reda, John-Mark Allen, Vinh-Dieu Lam, Alex Bewley, Amar Shah
Learning to Drive in a Day. ICRA (2019)
Jeffrey Hawke, Richard Shen, Corina Gurau, Siddharth Sharma, Daniele Reda, Nikolay Nikolov, Przemyslaw Mazur, Sean Micklethwaite, Nicolas Griffiths, Amar Shah, Alex Kendall
Urban Driving with Conditional Imitation Learning. CoRR (2019)
Alex Kendall, Jeffrey Hawke, David Janz, Przemyslaw Mazur, Daniele Reda, John-Mark Allen, Vinh-Dieu Lam, Alex Bewley, Amar Shah
Learning to Drive in a Day. CoRR (2018)