The seminar is scheduled on Fridays at 11am-12pm eastern time (unless noted). The location is Computer Science Building, Room 105.
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May 12, 2023 - David Fridovich-Keil, University of Texas at Austin
Title: Dynamic Game Models for Multi-Agent Interactions: The Role of Information in Designing Efficient Algorithms
Abstract: This talk introduces dynamic game theory as a natural modeling tool for multi-agent interactions ranging from large, abstract systems such as ride-hailing networks to more concrete, physically-embodied robotic settings such as collision-avoidance in traffic. We present the key theoretical underpinnings of dynamic game models for these varied situations and draw attention to the subtleties of information structure, i.e., what information is implicitly made available to each agent in a game. Thus equipped, the talk presents a state-of-the-art technique for solving these games, as well as a set of “dual” techniques for the inverse problem of identifying players’ objectives based on observations of strategic behavior.
Biography: David Fridovich-Keil is an assistant professor at the University of Texas at Austin. David’s research spans optimal control, dynamic game theory, learning for control, and robot safety. While he has also worked on problems in distributed control, reinforcement learning, and active search, he is currently investigating the role of dynamic game theory in multi-agent interactive settings such as traffic. David’s work also focuses on the interplay between machine learning and classical ideas from robust, adaptive, and geometric control theory.
April 21, 2023, Renee Zhao - Multifunctional Origami Robots
April 7, 2023, Scott Kuindersma - Task Agility: Making Useful Dynamic Behavior Easier to Create
Mar 24, 2023 - Dorsa Sadigh - Learning Representations for Interactive Robotics
Mar 10, 2023 - Greg Chirikjian - Robot Imagination: Affordance-Based Reasoning about Unknown Objects
Feb 28, 2023 - Danica Kragic - Learning perception, action and interaction
Feb 10, 2023 - Ken Goldberg - The New Wave in Robot Grasping
Dec 2, 2022 - Nadia Figueroa - Collaborative Robots in the Wild: Challenges and Future Directions from a Human-Centric Perspective
Nov 11, 2002 - Andy Zeng - Language as Robot Middleware
Oct 28, 2022 - Tomas Lozano-Perez - Generalization in Planning and Learning for Robotic Manipulation
Oct 14, 2022 - Sarah Tang - Data-Centric ML for Autonomous Driving
Sep 30, 2022 - Radhika Nagpal - Towards Collective A.I.
Sep 16, 2022 - Katie Skinner - Learning from Limited Data for Robot Vision in the Wild
April 22, 2022 - Mac Schwager - Reimagining Robot Autonomy with Neural Environment Representations
April 8, 2022 - Stephen Tu - Learning from many trajectories
March 25, 2022 - Karen Leung - Towards the Unification of Autonomous Vehicle Safety Concepts: A Reachability Perspective
March 11, 2022 - Reza Moini - Bio-inspired Design and Additive Manufacturing of Architected Cement-based Materials
Feb 25, 2022 - Aimy Wissa - Bio-Inspired Locomotion Strategies across Mediums: From Feather-Inspired Flow Control to Beetle-Inspired Jumping
Feb 11, 2022 - Jordan Taylor - The steep part of the learning curve: how cognitive strategies shape motor skill acquisition
Dec 3, 2021 - Naomi Leonard - Collective Intelligence and Multi-Robot System
Nov 19, 2021 - Aaron Ames - Safety-Critical Control of Dynamic Robots
Nov 5, 2021 - Chuchu Fan - Building Dependable Autonomous Systems through Learning Certified Decisions and Control
Oct 8, 2021 - Karthik Narasimhan - Language-guided policy learning for better generalization and safety
Sep 24, 2021 - Daniel Cohen - Living microrobots: controlling cellular swarms and the waterbear as a potential microrobot chassis
Sep 17, 2021 - Michael Posa - Contact-Rich Robotics: Learning, Impact-Invariant Control, and Tactile Feedback
Feb 11, 2021 - Jia Deng - Optimization Inspired Deep Architectures for Multiview 3D
Feb 25, 2021 - Stefana Parascho - Rethinking Architectural Robotics
Mar 11, 2021 - Naveen Verma - AI Meets Large-scale Sensing: preserving and exploiting structure of the real world to enhance machine perception
April 8, 2021 - Jaime Fernandez Fisac - Safe Robots in the Wild: maintaining safety by planning through uncertainty and interaction
April 22, 2021 - Olga Russakovsky, Zhiwei Deng - Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation
May 6, 2021 - Bartolomeo Stellato - Data-Driven Embedded Optimization for Control
Allen Ren, Alexandra Bodrova, Nate Simon, Anirudha Majumdar