A novel generative encoding for exploiting neural network sensor and output geometry. - David B. D'Ambrosio; Kenneth O. Stanley (GECCO, 2007)

Generative encoding for multiagent learning. - David B. D'Ambrosio; Kenneth O. Stanley (GECCO, 2008)

A Hypercube-Based Encoding for Evolving Large-Scale Neural Networks. - Kenneth O. Stanley; David B. D'Ambrosio; Jason Gauci (Artif. Life, 2009)

Evolving policy geometry for scalable multiagent learning. - David B. D'Ambrosio; Joel Lehman; Sebastian Risi; Kenneth O. Stanley (AAMAS, 2010)

Task switching in multirobot learning through indirect encoding. - David B. D'Ambrosio; Joel Lehman; Sebastian Risi; Kenneth O. Stanley (IROS, 2011)

Picbreeder: A Case Study in Collaborative Evolutionary Exploration of Design Space. - Jimmy Secretan; Nicholas Beato; David B. D'Ambrosio; Adelein Rodriguez; Adam Campbell; Jeremiah T. Folsom-Kovarik; Kenneth O. Stanley (Evol. Comput., 2011)

Combining Search-Based Procedural Content Generation and Social Gaming in the Petalz Video Game. - Sebastian Risi; Joel Lehman; David B. D'Ambrosio; Ryan Hall; Kenneth O. Stanley (AIIDE, 2012)

Rewarding Reactivity to Evolve Robust Controllers without Multiple Trials or Noise. - Joel Lehman; Sebastian Risi; David B. D'Ambrosio; Kenneth O. Stanley (ALIFE, 2012)

Multirobot Behavior Synchronization through Direct Neural Network Communication. - David B. D'Ambrosio; Skyler Goodell; Joel Lehman; Sebastian Risi; Kenneth O. Stanley (ICIRA (2), 2012)

Encouraging reactivity to create robust machines. - Joel Lehman; Sebastian Risi; David B. D'Ambrosio; Kenneth O. Stanley (Adapt. Behav., 2013)

Scalable multiagent learning through indirect encoding of policy geometry. - David B. D'Ambrosio; Kenneth O. Stanley (Evol. Intell., 2013)

HyperNEAT: The First Five Years. - David B. D'Ambrosio; Jason Gauci; Kenneth O. Stanley (Growing Adaptive Machines, 2014)

Petalz: Search-Based Procedural Content Generation for the Casual Gamer. - Sebastian Risi; Joel Lehman; David B. D'Ambrosio; Ryan Hall; Kenneth O. Stanley (IEEE Trans. Comput. Intell. AI Games, 2016)

SPIN: A High Speed, High Resolution Vision Dataset for Tracking and Action Recognition in Ping Pong. - Steven Schwarcz; Peng Xu 010; David B. D'Ambrosio; Juhana Kangaspunta; Anelia Angelova; Huong Phan; Navdeep Jaitly (CoRR, 2019)

i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops. - Saminda Wishwajith Abeyruwan; Laura Graesser; David B. D'Ambrosio; Avi Singh; Anish Shankar; Alex Bewley; Deepali Jain; Krzysztof Marcin Choromanski; Pannag R. Sanketi (CoRL, 2022)

Learning High Speed Precision Table Tennis on a Physical Robot. - Tianli Ding; Laura Graesser; Saminda Abeyruwan; David B. D'Ambrosio; Anish Shankar; Pierre Sermanet; Pannag R. Sanketi; Corey Lynch (IROS, 2022)

GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot. - Tianli Ding; Laura Graesser; Saminda Abeyruwan; David B. D'Ambrosio; Anish Shankar; Pierre Sermanet; Pannag R. Sanketi; Corey Lynch (CoRR, 2022)

Agile Catching with Whole-Body MPC and Blackbox Policy Learning. - 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 (L4DC, 2023)

Robotic Table Tennis: A Case Study into a High Speed Learning System. - David B. D'Ambrosio; Navdeep Jaitly; Vikas Sindhwani; Ken Oslund; Peng Xu 010; Nevena Lazic; Anish Shankar; Tianli Ding; Jonathan Abelian; Erwin Coumans; Gus Kouretas; Thinh Nguyen; et al. (Robotics: Science and Systems, 2023)

Robotic Table Tennis: A Case Study into a High Speed Learning System. - 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; et al. (CoRR, 2023)

Achieving Human Level Competitive Robot Table Tennis. - 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; et al. (CoRR, 2024)

Learning Diverse Robot Striking Motions with Diffusion Models and Kinematically Constrained Gradient Guidance. - Kin Man Lee; Sean Ye; Qingyu Xiao; Zixuan Wu; Zulfiqar Zaidi; David B. D'Ambrosio; Pannag R. Sanketi; Matthew C. Gombolay (CoRR, 2024)

SAS-Prompt: Large Language Models as Numerical Optimizers for Robot Self-Improvement. - Heni Ben Amor; Laura Graesser; Atil Iscen; David B. D'Ambrosio; Saminda Abeyruwan; Alex Bewley; Yifan Zhou; Kamalesh Kalirathinam; Swaroop Mishra; Pannag Sanketi (CoRR, 2025)