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David B. D'Ambrosio
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2020 – today
- 2024
- [i7]David B. D'Ambrosio, Saminda Abeyruwan, Laura Graesser, Atil Iscen, Heni Ben Amor, Alex Bewley, Barney J. Reed, Krista Reymann, Leila Takayama, Yuval Tassa, Krzysztof Choromanski, Erwin Coumans, Deepali Jain, Navdeep Jaitly, Natasha Jaques, Satoshi Kataoka, Yuheng Kuang, Nevena Lazic, Reza Mahjourian, Sherry Moore, Kenneth Oslund, Anish Shankar, Vikas Sindhwani, Vincent Vanhoucke, Grace Vesom, Peng Xu, Pannag R. Sanketi:
Achieving Human Level Competitive Robot Table Tennis. CoRR abs/2408.03906 (2024) - [i6]Kin Man Lee, Sean Ye, Qingyu Xiao, Zixuan Wu, Zulfiqar Zaidi, David B. D'Ambrosio, Pannag R. Sanketi, Matthew C. Gombolay:
Learning Diverse Robot Striking Motions with Diffusion Models and Kinematically Constrained Gradient Guidance. CoRR abs/2409.15528 (2024) - 2023
- [c11]Saminda Abeyruwan, Alex Bewley, Nicholas Matthew Boffi, Krzysztof Marcin Choromanski, David B. D'Ambrosio, Deepali Jain, Pannag R. Sanketi, Anish Shankar, Vikas Sindhwani, Sumeet Singh, Jean-Jacques E. Slotine, Stephen Tu:
Agile Catching with Whole-Body MPC and Blackbox Policy Learning. L4DC 2023: 851-863 - [c10]David B. D'Ambrosio, Navdeep Jaitly, Vikas Sindhwani, Ken Oslund, Peng Xu, Nevena Lazic, Anish Shankar, Tianli Ding, Jonathan Abelian, Erwin Coumans, Gus Kouretas, Thinh Nguyen, Justin Boyd, Atil Iscen, Reza Mahjourian, Vincent Vanhoucke, Alex Bewley, Yuheng Kuang, Michael Ahn, Deepali Jain, Satoshi Kataoka, Omar E. Cortes, Pierre Sermanet, Corey Lynch, Pannag R. Sanketi, Krzysztof Choromanski, Wenbo Gao, Juhana Kangaspunta, Krista Reymann, Grace Vesom, Sherry Q. Moore, Avi Singh, Saminda Wishwajith Abeyruwan, Laura Graesser:
Robotic Table Tennis: A Case Study into a High Speed Learning System. Robotics: Science and Systems 2023 - [i5]Saminda Abeyruwan, Alex Bewley, Nicholas M. Boffi, Krzysztof Choromanski, David B. D'Ambrosio, Deepali Jain, Pannag Sanketi, Anish Shankar, Vikas Sindhwani, Sumeet Singh, Jean-Jacques E. Slotine, Stephen Tu:
Agile Catching with Whole-Body MPC and Blackbox Policy Learning. CoRR abs/2306.08205 (2023) - [i4]David B. D'Ambrosio, Jonathan Abelian, Saminda Abeyruwan, Michael Ahn, Alex Bewley, Justin Boyd, Krzysztof Choromanski, Omar Cortes, Erwin Coumans, Tianli Ding, Wenbo Gao, Laura Graesser, Atil Iscen, Navdeep Jaitly, Deepali Jain, Juhana Kangaspunta, Satoshi Kataoka, Gus Kouretas, Yuheng Kuang, Nevena Lazic, Corey Lynch, Reza Mahjourian, Sherry Q. Moore, Thinh Nguyen, Ken Oslund, Barney J. Reed, Krista Reymann, Pannag R. Sanketi, Anish Shankar, Pierre Sermanet, Vikas Sindhwani, Avi Singh, Vincent Vanhoucke, Grace Vesom, Peng Xu:
Robotic Table Tennis: A Case Study into a High Speed Learning System. CoRR abs/2309.03315 (2023) - 2022
- [c9]Saminda Wishwajith Abeyruwan, Laura Graesser, David B. D'Ambrosio, Avi Singh, Anish Shankar, Alex Bewley, Deepali Jain, Krzysztof Marcin Choromanski, Pannag R. Sanketi:
i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops. CoRL 2022: 212-224 - [c8]Tianli Ding, Laura Graesser, Saminda Abeyruwan, David B. D'Ambrosio, Anish Shankar, Pierre Sermanet, Pannag R. Sanketi, Corey Lynch:
Learning High Speed Precision Table Tennis on a Physical Robot. IROS 2022: 10780-10787 - [i3]Saminda Abeyruwan, Laura Graesser, David B. D'Ambrosio, Avi Singh, Anish Shankar, Alex Bewley, Deepali Jain, Krzysztof Choromanski, Pannag R. Sanketi:
i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops. CoRR abs/2207.06572 (2022) - [i2]Tianli Ding, Laura Graesser, Saminda Abeyruwan, David B. D'Ambrosio, Anish Shankar, Pierre Sermanet, Pannag R. Sanketi, Corey Lynch:
GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot. CoRR abs/2210.03662 (2022)
2010 – 2019
- 2019
- [i1]Steven Schwarcz, Peng Xu, David B. D'Ambrosio, Juhana Kangaspunta, Anelia Angelova, Huong Phan, Navdeep Jaitly:
SPIN: A High Speed, High Resolution Vision Dataset for Tracking and Action Recognition in Ping Pong. CoRR abs/1912.06640 (2019) - 2016
- [j5]Sebastian Risi, Joel Lehman, David B. D'Ambrosio, Ryan Hall, Kenneth O. Stanley:
Petalz: Search-Based Procedural Content Generation for the Casual Gamer. IEEE Trans. Comput. Intell. AI Games 8(3): 244-255 (2016) - 2014
- [p1]David B. D'Ambrosio, Jason Gauci, Kenneth O. Stanley:
HyperNEAT: The First Five Years. Growing Adaptive Machines 2014: 159-185 - 2013
- [j4]Joel Lehman, Sebastian Risi, David B. D'Ambrosio, Kenneth O. Stanley:
Encouraging reactivity to create robust machines. Adapt. Behav. 21(6): 484-500 (2013) - [j3]David B. D'Ambrosio, Kenneth O. Stanley:
Scalable multiagent learning through indirect encoding of policy geometry. Evol. Intell. 6(1): 1-26 (2013) - 2012
- [c7]Sebastian Risi, Joel Lehman, David B. D'Ambrosio, Ryan Hall, Kenneth O. Stanley:
Combining Search-Based Procedural Content Generation and Social Gaming in the Petalz Video Game. AIIDE 2012 - [c6]Joel Lehman, Sebastian Risi, David B. D'Ambrosio, Kenneth O. Stanley:
Rewarding Reactivity to Evolve Robust Controllers without Multiple Trials or Noise. ALIFE 2012 - [c5]David B. D'Ambrosio, Skyler Goodell, Joel Lehman, Sebastian Risi, Kenneth O. Stanley:
Multirobot Behavior Synchronization through Direct Neural Network Communication. ICIRA (2) 2012: 603-614 - 2011
- [j2]Jimmy Secretan, Nicholas Beato, David B. D'Ambrosio, Adelein Rodriguez, Adam Campbell, Jeremiah T. Folsom-Kovarik, Kenneth O. Stanley:
Picbreeder: A Case Study in Collaborative Evolutionary Exploration of Design Space. Evol. Comput. 19(3): 373-403 (2011) - [c4]David B. D'Ambrosio, Joel Lehman, Sebastian Risi, Kenneth O. Stanley:
Task switching in multirobot learning through indirect encoding. IROS 2011: 2802-2809 - 2010
- [c3]David B. D'Ambrosio, Joel Lehman, Sebastian Risi, Kenneth O. Stanley:
Evolving policy geometry for scalable multiagent learning. AAMAS 2010: 731-738
2000 – 2009
- 2009
- [j1]Kenneth O. Stanley, David B. D'Ambrosio, Jason Gauci:
A Hypercube-Based Encoding for Evolving Large-Scale Neural Networks. Artif. Life 15(2): 185-212 (2009) - 2008
- [c2]David B. D'Ambrosio, Kenneth O. Stanley:
Generative encoding for multiagent learning. GECCO 2008: 819-826 - 2007
- [c1]David B. D'Ambrosio, Kenneth O. Stanley:
A novel generative encoding for exploiting neural network sensor and output geometry. GECCO 2007: 974-981
Coauthor Index
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last updated on 2024-10-17 21:30 CEST by the dblp team
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