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Workshop
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Fri 2:50 |
Novel Applications: Embedding a random graph via GNN: Extended mean-field inference theory and RL applications to NP-Hard multi-robot/machine scheduling Hyunwook Kang |
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Poster
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Tue 11:00 |
Stochastically Dominant Distributional Reinforcement Learning John Martin · Michal Lyskawinski · Xiaohu Li · Brendan Englot |
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Poster
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Wed 12:00 |
Estimating Model Uncertainty of Neural Networks in Sparse Information Form Jongseok Lee · Matthias Humt · Jianxiang Feng · Rudolph Triebel |
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Poster
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Thu 6:00 |
Learning Robot Skills with Temporal Variational Inference Tanmay Shankar · Abhinav Gupta |
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Poster
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Tue 8:00 |
Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM Kunal Menda · Jean de Becdelievre · Jayesh K. Gupta · Ilan Kroo · Mykel Kochenderfer · Zachary Manchester |
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Poster
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Tue 12:00 |
A distributional view on multi-objective policy optimization Abbas Abdolmaleki · Sandy Huang · Leonard Hasenclever · Michael Neunert · Francis Song · Martina Zambelli · Murilo Martins · Nicolas Heess · Raia Hadsell · Martin Riedmiller |
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Poster
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Tue 9:00 |
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination Somdeb Majumdar · Shauharda Khadka · Santiago Miret · Stephen Mcaleer · Kagan Tumer |
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Poster
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Wed 9:00 |
Hallucinative Topological Memory for Zero-Shot Visual Planning Kara Liu · Thanard Kurutach · Christine Tung · Pieter Abbeel · Aviv Tamar |
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Poster
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Thu 8:00 |
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control Wenlong Huang · Igor Mordatch · Deepak Pathak |
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Workshop
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Sat 14:05 |
"Safe and Efficient Active Learning Strategies for Robotics Applications" Angela Schoellig |
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Workshop
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Fri 15:45 |
Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity William Agnew |
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Poster
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Wed 10:00 |
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts? Angelos Filos · Panagiotis Tigas · Rowan McAllister · Nicholas Rhinehart · Sergey Levine · Yarin Gal |