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Past Talks |
/pasttalks/ |
(You'll need a Brown account to access the recordings.)
Talk | Speaker |
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Toward Full-Stack Reliable Robot Learning for Autonomy and Interaction [abstract][recording] | Glen Chou |
Deep Reinforcement Learning for Multi-Agent Interaction [abstract][recording] | Stefano V. Albrecht |
Object-level Planning: Bridging the Gap between Human Knowledge and Task and Motion Planning [abstract][recording] | David Paulius |
[internal] Lishuo, David, Shane, Ivy, Lakshita [recording] | |
[internal] Benedict Quartey, Thao Nguyen [recording][slides: 1 2] | |
Towards Interactive Task and Motion Imitation [abstract][recording] | Felix Yanwei Wang |
Towards Composable Scene Representations in Robotics and Vision [abstract][recording] | Ondrej Biza |
[internal] Ziyi, Benned, Ben, Arjun, Mingxi [recording][slides: 1 2 3 4 5] | |
[internal] Sam Lobel, Rafael Rodriguez-Sanchez [recording][slides: 1 2] | |
Building General-Purpose Robots with Integrated Learning and Planning [abstract][recording] | Jiayuan Mao |
[internal] Anita, Tuluhan, Tabby, Sergio, Haotian, Prof. Matthew Stein's Group [recording] | |
[internal] Alper Ahmetoglu, Eric Ewing [recording] | |
[internal] A few attempts to learn generalizable manipulation skills - An imitation learning view[abstract][recording] | Mingxi Jia |
Talk | Speaker |
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Regularization in Neural Networks: A Probabilistic Perspective [abstract][recording] | Tim Rudner |
Broadening Robot Dexterity: Leveraging Elements in Manipulation Task Environments [abstract][recording] | Xianyi Cheng |
The Hessian Perspective into the Nature of Neural Networks [abstract][recording] | Sidak Pal Singh |
Quasimetric Reinforcement Learning [abstract][recording] | Tongzhou Wang |
Generalizing Beyond Your Data through Compositional Energy Functions [abstract][recording] | Yilun Du |
A2Perf: Benchmarking Autonomous Agents for the Real World [abstract][recording] | Ike Uchendu |
Towards Social Autotelic Agents: Open-Ended Skill Learning with Goals, Language and Intrinsically Motivated Reinforcement Learning [abstract][recording] | Cédric Colas |
Natural Language Task Specification for Robots [abstract][recording] | Jason Liu |
Deep Symbol Generation and Rule Learning [abstract][recording] | Alper Ahmetoglu |
Pragmatic, Uncertainty Guided Reinforcement Learning [abstract][recording] | Taylor Killian |
Grounded Understanding of Actions and Language via Bayesian Inverse Planning [abstract][recording] | Tan Zhi-Xuan |
Improving Unsupervised Visual Program Inference with Code Rewriting Families [abstract][recording] | Aditya Ganeshan |
Inventing Plannable Abstractions from Demonstrations [abstract][recording] | Nishanth Kumar |
Equivariant Learning for Robotic Manipulation [abstract][recording] | Dian Wang |
Scaling Goal-based Exploration via Pruning Proto-goals [abstract] & Learning with Program Induction [abstract][recording] | Akhil Bagaria & Skye Thompson |
Open and Efficient Reinforcement Learning from Human Feedback [abstract][recording] | Louis Catricato |
The Uninteded Consequences of Discount Regularization [recording] | Sarah Rathnam |
Interpretable Artificial Intelligence for Personalized Human-Robot Collaboration [recording] | Rohan Paleja |
Choreorobotics: An Emerging Discipline [abstract][recording] | Catie Cuan |
Talk | Speaker |
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Handling Distribution Shifts by training RL agents to be adaptive [abstract][recording] | Anurag Ajay |
Resource Optimization for Learning in Robotics [abstract][recording] | Shivam Vats |
Towards understanding self-supervised representation learning [abstract][recording] | Nikunj Saunshi |
Integrating Psychophysiological Measurements with Robotics in Dynamic Environments [abstract][recording] | Pooja Bovard And Courtney Tse |
Learning and Memory in General Decision Processes [abstract][recording] | Cam Allen |
Creating Versatile Learning Agents Via Lifelong Compositionality [abstract][recording] | Jorge Mendez |
Learning Scalable Strategies for Swarm Robotic Systems [abstract][recording] | Lishuo Pan |
Dynamic probabilistic logic models for effective task-specific abstractions in RL [abstract][recording] | Harsha Kokel |
Why is this Taking so Dang Long? The Performance Characteristics of Multi-agent Path Finding Algorithms [abstract][recording] | Eric Ewing |
Learning-Augmented Anticipatory Planning: designing capable and trustworthy robots that plan despite missing knowledge [abstract][recording] | Gregory Stein |
Towards Lifelong Reinforcement Learning through Zero-Shot Logical Composition [abstract][recording] | Geraud Nangue Tasse |
WHAT IS ARiSE AND ITS PURPOSE, HOW DOES IT BENEFIT HAMPTON UNIVERSITY, LOCAL MILITARY/GOVERNMENT AGENCIES, UAS INDUSTRIES, AND THE COMMUNITIES OF HAMPTON ROADS [abstract][recording] | John P Murray |
Learning and Using Hierarchical Abstractions for Efficient Taskable Robots [abstract][recording] | Naman Shah |
Representation in Robotics [abstract][recording] | Kaiyu Zheng |
Toward More Robust Hyperparameter Optimization [abstract][recording] | A. Feder Cooper |
Statistical and Computational Issues in Reinforcement Learning (with Linear Function Approximation) [abstract][recording] | Gaurav Mahajan |
On the Expressivity of Markov Reward [abstract][recording] | Dave Abel |
Robot Skill Learning via Representation Sharing and Reward Conditioning[abstract] & Shape-Based Transfer of Generic Skills [abstract][recording] | Tuluhan Akbulut & Skye Thompson |
Hardware Architecture for LiDAR Point Cloud Processing in Autonomous Driving [abstract][recording] | Xinming Huang |
Working with Spot [abstract] & Count based exploration [abstract][recording] | Kaiyu Zheng & Max Merlin & Sam Lobel |
MICo: Improved representations via sampling-based state similarity for Markov decision processes [abstract][recording] | Pablo Samuel Castro |
Weak inductive biases for composable primitive representations [abstract][recording] | Wilka Carvalho |
Mirror Descent Policy Optimization [abstract][recording] | Manan Tomar |
Joint Task and Motion Planning with the Functional Object-Oriented Network [abstract][recording] | David Paulius |