More from the Same Authors

• 2020 : Paper 1: Multimodal Trajectory Prediction for Autonomous Driving with Semantic Map and Dynamic Graph Attention Network »
  Rowan McAllister
• 2020 : Paper 12: DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation »
  Rowan McAllister
• 2020 : Paper 15: Calibrating Self-supervised Monocular Depth Estimation »
  Rowan McAllister
• 2020 : Paper 22: RAMP-CNN: A Novel Neural Network for EnhancedAutomotive Radar Object Recognition »
  Rowan McAllister
• 2022 : Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? »
  Gunshi Gupta · Tim G. J. Rudner · Rowan McAllister · Adrien Gaidon · Yarin Gal
• 2022 : Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? »
  Gunshi Gupta · Tim G. J. Rudner · Rowan McAllister · Adrien Gaidon · Yarin Gal
• 2023 Poster: DriveMax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research »
  Cole Gulino · Justin Fu · Wenjie Luo · George Tucker · Eli Bronstein · Yiren Lu · Jean Harb · Xinlei Pan · Yan Wang · Xiangyu Chen · John Co-Reyes · Rishabh Agarwal · Rebecca Roelofs · Yao Lu · Nico Montali · Paul Mougin · Zoey Yang · Brandyn White · Aleksandra Faust · Rowan McAllister · Dragomir Anguelov · Benjamin Sapp
• 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 »
  Rowan McAllister
• 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 »
  Kurtland Chua · Roberto Calandra · Rowan McAllister · Sergey Levine
• 2018 Spotlight: Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models »
  Kurtland Chua · Roberto Calandra · Rowan McAllister · Sergey Levine
• 2017 Poster: Data-Efficient Reinforcement Learning in Continuous State-Action Gaussian-POMDPs »
  Rowan McAllister · Carl Edward Rasmussen