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Paper 1: Multimodal Trajectory Prediction for Autonomous Driving with Semantic Map and Dynamic Graph Attention Network
Rowan McAllister
Author Information
Rowan McAllister (University of California Berkeley)
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2020 : Paper 12: DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation »
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2020 : Paper 15: Calibrating Self-supervised Monocular Depth Estimation »
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2020 : Paper 22: RAMP-CNN: A Novel Neural Network for EnhancedAutomotive Radar Object Recognition »
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2020 : Paper 57: Single Shot Multitask Pedestrian Detection and Behavior Prediction »
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2022 : Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? »
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2022 : Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? »
Gunshi Gupta · Tim G. J. Rudner · Rowan McAllister · Adrien Gaidon · Yarin Gal -
2022 Workshop: Machine Learning for Autonomous Driving »
Jiachen Li · Nigamaa Nayakanti · Xinshuo Weng · Daniel Omeiza · Ali Baheri · German Ros · Rowan McAllister -
2021 Poster: Outcome-Driven Reinforcement Learning via Variational Inference »
Tim G. J. Rudner · Vitchyr Pong · Rowan McAllister · Yarin Gal · Sergey Levine -
2020 Workshop: Machine Learning for Autonomous Driving »
Rowan McAllister · Xinshuo Weng · Daniel Omeiza · Nick Rhinehart · Fisher Yu · German Ros · Vladlen Koltun -
2020 : Welcome »
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2019 : Welcome »
Rowan McAllister · Nicholas Rhinehart · Li Erran Li -
2019 Workshop: Machine Learning for Autonomous Driving »
Rowan McAllister · Nicholas Rhinehart · Fisher Yu · Li Erran Li · Anca Dragan -
2018 : Coffee Break and Poster Session I »
Pim de Haan · Bin Wang · Dequan Wang · Aadil Hayat · Ibrahim Sobh · Muhammad Asif Rana · Thibault Buhet · Nicholas Rhinehart · Arjun Sharma · Alex Bewley · Michael Kelly · Lionel Blondé · Ozgur S. Oguz · Vaibhav Viswanathan · Jeroen Vanbaar · Konrad Żołna · Negar Rostamzadeh · Rowan McAllister · Sanjay Thakur · Alexandros Kalousis · Chelsea Sidrane · Sujoy Paul · Daphne Chen · Michal Garmulewicz · Henryk Michalewski · Coline Devin · Hongyu Ren · Jiaming Song · Wen Sun · Hanzhang Hu · Wulong Liu · Emilie Wirbel -
2018 Poster: Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models »
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2018 Spotlight: Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models »
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2017 Poster: Data-Efficient Reinforcement Learning in Continuous State-Action Gaussian-POMDPs »
Rowan McAllister · Carl Edward Rasmussen