Timezone: »

 
Poster Session
Zihan Ding · David Mguni · Yuzheng Zhuang · Edouard Leurent · Takuma Oda · Yulia Tachibana · Paweł Gora · Neema Davis · Nemanja Djuric · Fang-Chieh Chou · elmira amirloo

Deep Reinforcement Learning for Intelligent Transportation Systems, Xiao-Yang Liu, Zihan Ding (presenter), Sem Borst, Anwar Walid

GANtruth – an unpaired image-to-image translation method for driving scenarios Sebastian Bujwid (presenter), Miquel Martí Rabadan, Hossein Azizpour, Alessandro Pieropan

Controlling the Crowd: Inducing Efficient Equilibria in Multi-Agent Systems
David Mguni (presenter), Joel Jennings, Sergio Valcarcel Macua, Sofia Ceppi, Enrique Munoz de Cote

Distributed Fleet Control with Maximum Entropy Deep Reinforcement Learning
Takuma Oda (presenter), Yulia Tachibana (presenter)

Robust Auto-parking: Reinforcement Learning based Real-time Planning Approach with Domain Template
Yuzheng Zhuang (presenter), Qiang Gu, Bin Wang, Jun Luo, Hongbo Zhang, Wulong Liu

Approximate Robust Control of Uncertain Dynamical Systems
Edouard Leurent (presenter), Yann Blanco, Denis Efimov, Odalric-Ambrym Maillard

Towards Comprehensive Maneuver Decisions for Lane Change Using Reinforcement Learning
Chen Chen, Jun Qian, Hengshuai Yao, Jun Luo, Hongbo Zhang, Wulong Liu (presenter)

Investigating performance of neural networks and gradient boosting models approximating microscopic traffic simulations in traffic optimization tasks
Paweł Gora (presenter), Maciej Brzeski, Marcin Możejko, Arkadiusz Klemenko, Adrian Kochański

Taxi Demand-Supply Forecasting: Impact of Spatial Partitioning on the Performance of Neural Networks
Neema Davis (presenter), Gaurav Raina, Krishna Jagannathan

Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets
Fang-Chieh Chou (presenter), Tsung-Han Lin, Henggang Cui, Vladan Radosavljevic, Thi Nguyen, Tzu-Kuo Huang, Matthew Niedoba, Jeff Schneider, Nemanja Djuric (presenter)

Towards Practical Hierarchical Reinforcement Learning for Multi-lane Autonomous Driving
Masoud S. Nosrati, Elmira Amirloo Abolfathi (presenter), Mohammed Elmahgiubi, Peyman Yadmellat, Jun Luo, Yunfei Zhang, Hengshuai Yao, Hongbo Zhang, Anas Jamil

Risk-averse Behavior Planning for Autonomous Driving under Uncertainty
Mohammad Naghshvar (presenter), Ahmed K. Sadek, Auke J. Wiggers

Author Information

Zihan Ding (Imperial College London)
David Mguni (PROWLER.io)

Senior Machine Learning Researcher, PROWLER.io Mar, 2017 -

Yuzheng Zhuang (Huawei Technologies Co. Ltd.)
Edouard Leurent (INRIA)

PhD student in Reinforcement Learning, at: - INRIA SequeL project for sequential learning - INRIA Non-A project for finite-time control - Renault Group

Takuma Oda (DeNA Co., Ltd)
Yulia Tachibana (DeNA Co., Ltd.)
Paweł Gora (University of Warsaw)
Neema Davis (IIT Madras)
Nemanja Djuric (Uber ATG)
Fang-Chieh Chou (Uber)
elmira amirloo (Huawei Technologies)

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