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Daniele Reda
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Journal Articles
- 2023
- [j1]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): 33:1-33:19 (2023)
Conference and Workshop Papers
- 2024
- [c7]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: 69 - 2023
- [c6]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: 23:1-23:11 - 2022
- [c5]Daniele Reda, Hung Yu Ling, Michiel van de Panne:
Learning to Brachiate via Simplified Model Imitation. SIGGRAPH (Conference Paper Track) 2022: 24:1-24:9 - 2021
- [c4]Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni, Frank Wood:
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation. ITSC 2021: 720-725 - 2020
- [c3]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: 251-257 - [c2]Daniele Reda, Tianxin Tao, Michiel van de Panne:
Learning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement Learning. MIG 2020: 16:1-16:10 - 2019
- [c1]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: 8248-8254
Informal and Other Publications
- 2024
- [i8]Setareh Cohan, Guy Tevet, Daniele Reda, Xue Bin Peng, Michiel van de Panne:
Flexible Motion In-betweening with Diffusion Models. CoRR abs/2405.11126 (2024) - 2023
- [i7]Daniele Reda, Jungdam Won, Yuting Ye, Michiel van de Panne, Alexander W. Winkler:
Physics-based Motion Retargeting from Sparse Inputs. CoRR abs/2307.01938 (2023) - 2022
- [i6]Tianxin Tao, Daniele Reda, Michiel van de Panne:
Evaluating Vision Transformer Methods for Deep Reinforcement Learning from Pixels. CoRR abs/2204.04905 (2022) - [i5]Daniele Reda, Hung Yu Ling, Michiel van de Panne:
Learning to Brachiate via Simplified Model Imitation. CoRR abs/2205.03943 (2022) - 2021
- [i4]Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni, Frank Wood:
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation. CoRR abs/2104.11212 (2021) - 2020
- [i3]Daniele Reda, Tianxin Tao, Michiel van de Panne:
Learning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement Learning. CoRR abs/2010.04304 (2020) - 2019
- [i2]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 abs/1912.00177 (2019) - 2018
- [i1]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 abs/1807.00412 (2018)
Coauthor Index
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