WebbAbout. I am Xiangyu Peng, a 4th-year Ph.D. candidate in Machine Learning @ Georgia Institute of Technology. I am advised by Dr. Mark Riedl, and my research focused on Natural language generation, Game AI, Explainable AI, and Deep reinforcement learning.. You can reach me at xpeng62 at gatech dot edu. WebbMy work draws on a broad range of numerical and discrete tools from combinatorics, optimization and graph theory, which leads to not only stronger theoretical guarantees, but also practical improvements for computational challenges arising in practice. In July 2024, I joined Google research at Mountain View.
Graph Algorithms and Offline Data Structures School of …
Webbdenton at cc dot gatech dot edu. Summaries. Summary Sentence: Klaus 1116 East & West at 1 pm. Full Summary: No summary paragraph submitted. Algorithms & Randomness Center (ARC) and ACO Joint Colloquium. Richard Peng – Georgia Tech. Monday, August 31, 2015. Klaus 1116 East & West - 1:00 pm (Refreshments will be served in Klaus 2222 … WebbGraph-based Semi-Supervised Learning by Strengthening Local Label Consistency ‐ Chen Li (Beihang university, China), Xutan Peng (The University of Sheffield, United Kingdom), Hao Peng (Beihang University, China), Jia Wu (Macquarie University, Australia), Lihong Wang (CNCERT, China), Philip S. Yu (University of Illinois at Chicago, China), … difference between tandem ppo and full ppo
Solving Sparse Linear Systems Faster than Matrix Multiplication
Webb11 jan. 2024 · In current convex optimization literature, there are significant gaps between algorithms that produce high accuracy (1+1/poly(n))-approximate solutions vs. algorithms that produce O(1)-approximate solutions for symmetrized special cases. WebbProfessor, Mary and Maisie Gibson Chair & GRA Eminent Scholar in Computational Systems Biology difference between t and b memory cells