Talks

2021 Dec 21   Thesis Proposal, Brown University   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, HSDIP Workshop @ ICAPS 2021   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, WhiRL Lab @ Oxford   Learning Markov State Abstractions for Deep Reinforcement Learning
2021 Feb 19   Invited Talk, AAIR Lab @ ASU   Learning Markov State Abstractions for Deep Reinforcement Learning
2020 Dec 11   Paper Presentation, Deep RL Workshop @ NeurIPS 2020   Learning Markov State Abstractions for Deep Reinforcement Learning
2020 Nov 13   Poster, Northeast RL and Decision Making Symposium   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 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 May 29   Research Talk, PERISCOPE Meeting @ 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
2017 Sep 12   Research Talk, PERISCOPE Meeting @ Cornell University   High-Level Symbolic Representations for Planning
2016 Mar 30   Lab Talk, DRIV Research Group @ Duke   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, DRIV Research Group @ Duke   What are Priors? From Coin Flips to Dirichlet Distributions
2011 Sep 07   Invited Talk, American Science & Engineering’s Tech Innovation Series   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