Talks

Upcoming        
2024 Jul 10   Lab Talk @ CHAI All-Hands   Mitigating Partial Observability in Decision Processes via the Lambda Discrepancy
2024        
2024 May 01   Lab Talk @ CHAI All-Hands   Breaking Down the Alignment Problem
2023        
2023 Jun 30   Thesis Defense @ Brown   Structured Abstractions for General-Purpose Decision Making
2023 Apr 18   Invited Talk @ Berkeley   Structured Abstractions for General-Purpose Decision Making
2023 Apr 14   Invited Talk @ Stanford   Structured Abstractions for General-Purpose Decision Making
2023 Mar 09   Invited Talk @ Harvard   Structured State and Action Abstractions for Learning and Planning
2023 Feb 01   Invited Talk @ Northeastern   Structured State and Action Abstractions for Learning and Planning
2023 Jan 27   Invited Talk @ IBM Neuro-Symbolic AI Workshop   Efficient Black-Box Planning Using Macro-Actions with Focused Effects
2022        
2022 Nov 16   Invited Talk @ UMass Amherst   Structured State and Action Abstractions for Learning and Planning
2022 Nov 10   Invited Talk @ Duke   Structured State and Action Abstractions for Learning and Planning
2022 Oct 07   Lab Talk @ Brown Robotics Lab   Learning and Memory in General Decision Processes
2021        
2021 Dec 21   Thesis Proposal @ Brown   Discovering and Exploiting Structure for Abstract Decision Making
2021 Dec 09   Paper Presentation @ NeurIPS 2021   Learning Markov State Abstractions for Deep Reinforcement Learning
2021 Aug 23   Paper Presentation @ IJCAI 2021   Efficient Black-Box Planning Using Macro-Actions with Focused Effects
2021 Aug 04   Paper Presentation @ ICAPS 2021 HSDIP Workshop   Efficient Black-Box Planning Using Macro-Actions with Focused Effects
2021 Jul 09   Lab Talk @ Brown Robotics Lab   Focused Macro-Actions and Markov State Representations
2021 Mar 15   Invited Talk @ Oxford   Learning Markov State Abstractions for Deep Reinforcement Learning
2021 Feb 19   Invited Talk @ ASU   Learning Markov State Abstractions for Deep Reinforcement Learning
2020        
2020 Dec 11   Paper Presentation @ NeurIPS 2020 Deep RL Workshop   Learning Markov State Abstractions for Deep Reinforcement Learning
2020 Nov 13   Poster @ Northeast RL and Decision Making Symposium (NERDS)   Learning Markov State Abstractions for Deep Reinforcement Learning
2020 Nov 05   Lab Talk @ Brown Robotics Lab   Navigating the Research Meta-Problem
2020 Aug 14   Lab Talk @ Brown Robotics Lab   The Geometry of Value Functions
2020 Jun 12   Lab Talk @ Brown Robotics Lab   Onager: A Lightweight Python Library for Launching Experiments and Tuning Hyperparameters
2020 Feb 12   Lab Talk @ Brown Intelligent Robot Lab   Markov State Abstractions
2019        
2019 Dec 06   Lab Talk @ Brown Robotics Lab   Learning Skills for Efficient Factored-State Planning
2019 Oct 31   Guest Lecture @ Brown CS1410 (Artificial Intelligence)   Supervised Learning, Part 2
2019 Oct 29   Guest Lecture @ Brown CS1410 (Artificial Intelligence)   Supervised Learning, Part 1
2019 Oct 21   Co-instructor @ Woods Hole Oceanographic Institution   Machine Learning Workshop
2019 Oct 02   Lab Talk @ Brown Intelligent Robot Lab   Learning Factored State and Action Abstractions for MDPs
2019 May 10   Lab Talk @ Brown Robotics Lab   Learning Factored State Representations for Reinforcement Learning
2018        
2018 May 29   Research Talk @ Cornell University   Deep Symbolic Representations for Planning
2018 Mar 22   Guest Lecture @ Brown CS2951X (Reintegrating AI)   Discussion: Building Machines That Learn and Think Like People
2018 Feb 16   Lab Talk @ Brown Robotics Lab   Mean Actor-Critic - Project Overview
2018 Feb 01   Guest Lecture @ Brown CS2951X (Reintegrating AI)   Classical AI - Symbols and Search
Earlier        
2017 Sep 12   Research Talk @ Cornell University   High-Level Symbolic Representations for Planning
2016 Mar 30   Lab Talk @ Duke DRIV Research Group   Viterbi Decoders: Introduction and Parallelization for High-Throughput Communications
2016 Jan 25   Guest Lecture @ Duke CS270 (Artificial Intelligence)   Introduction to Python
2015 Nov 11   Lab Talk @ Duke DRIV Research Group   What are Priors? From Coin Flips to Dirichlet Distributions
2011 Sep 07   Invited Talk @ American Science & Engineering   The Memristor Project: Simulation Software for a New Analog Circuit Device
2011 Jun 28   Invited Talk, Gordon Research Conference on Detecting Illicit Substances   Anomaly Detection in X-ray Backscatter Leg Images Using Machine Learning