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Events for the 3rd week of December
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PhD Thesis Proposal - Anand Balakrishnan
Tue, Dec 17, 2024 @ 12:00 PM - 01:00 PM
Thomas Lord Department of Computer Science
University Calendar
Title: From Qualitative to Quantitative Objectives for Neurosymbolic Control and Planning
Date: Dec 17, 2024
Time: 12 PM - 1 PM
Location: GCS 302C
Committee members: Jyotirmoy Deshmukh (chair), Rahul Jain, Lars Lindemann, Erdem Biyik
Abstract: Reinforcement Learning (RL) is a popular paradigm by which an autonomous agent learns to perform complex tasks and behaviors through trial and error, facilitated by providing rewards to the agent. Effectively, these reward functions encode the high-level behavior intended by the designer, making the satisfactory performance of the tasks by the RL agent highly dependent on the reward functions. However, this raises concerns about safety and interpretability in the learned control policies. To this end, we propose using formal specification paradigms that can express complex behaviors unambiguously, including time-dependent tasks like sequential tasks and patrolling tasks.In this proposal, we first present how to extract quantitative rewards from such qualitative specifications without altering them and demonstrate through empirical and theoretical analysis the various guarantees and trade-offs associated with these techniques. We then derive novel representations for the specifications so that their structure can be directly exploited by optimization algorithms and propose how these representations can be leveraged to perform neurosymbolic control for complex systems.Location: Ginsburg Hall (GCS) - 302C
Audiences: Everyone Is Invited
Contact: Ellecia Williams
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Computer Science General Faculty Meeting
Wed, Dec 18, 2024 @ 12:00 PM - 02:00 PM
Thomas Lord Department of Computer Science
Receptions & Special Events
Bi-Weekly regular faculty meeting for invited full-time Computer Science faculty and staff only. Event details emailed directly to attendees.
Location: Ginsburg Hall (GCS) - 107
Audiences: Invited Faculty Only
Contact: Julia Mittenberg-Beirao
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
PhD Thesis Defense - Nathan Dennler
Wed, Dec 18, 2024 @ 01:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
University Calendar
PhD Thesis Defense Committee: Maja Mataric, Stefanos Nikolaidis, and Shri Narayanan Title: Physical and social adaptation in assistive robot interactions Abstract: Robots are expected to be deployed in various diverse environments and use-cases to provide physical and social assistance to end-users. A major barrier to the widespread deployment of in-home robots is the large variance in the personal preferences for how robots should perform tasks. The impact of personal preferences is exacerbated in robots compared to already ubiquitous computer systems because a robot’s embodiment allows it to physically interact with the world and form social connections with users through its actions. This dissertation explores how robots can adapt their mechanical design, physical behaviors, and social behaviors. Across these modalities, we emphasize the importance of both automatic adaptation through personalization, and user-driven adaptation through customization.
Location: Henry Salvatori Computer Science Center (SAL) - 126
Audiences: Everyone Is Invited
Contact: Julia Mittenberg-Beirao
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
