Posters accepted:

• (Highlighted) Debidatta Dwibedi, Jonathan Tompson, Corey Lynch and Pierre Sermanet, "Self-Supervised Representation Learning for Continuous Control"
• (Highlighted) Zherong Pan and Dinesh Manocha, "Controlling High-DOF Fluid Bodies using Nonlinear Dimension Reduction"
• (Highlighted) Oleksii Zhelo, Jingwei Zhang, Lei Tai, Ming Liu and Wolfram Burgard, "Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning"
• (Highlighted) Pararth Shah, Marek Fiser, Aleksandra Faust, J. Chase Kew and Dilek Hakkani-Tur, "FollowNet: Robot Navigation by Following Natural Language Directions with Deep Reinforcement Learning"
• (Highlighted) Ty Nguyen, Dung Nguyen and Tsz-Chiu Au, "Learning of Vehicular Performance Models for Longitudinal Motion Planning to Satisfy Arrival Requirements"
• Yuya Okadome, Wenpeng Wei and Toshiko Aizono, "A data-selection algorithm for deep-reinforcement learning using a variational auto-encoder"
• Solvi Arnold and Kimitoshi Yamazaki, "A Neural Network Approach for Fast and Flexible Multi-Step Cloth Manipulation Planning"
• Olalekan Ogunmolu, Nicholas Gans and Tyler Summers, "Minimax Iterative Dynamic Game: Application to Nonlinear Robot Control Tasks"
• Noé Pérez-Higueras, Gonzalo Mier, Fernando Caballero Benítez and Luis Merino, "Learning RRT* cost functions from demonstrations for human-aware navigation"
• Sebastian Blaes, Jia-Jie Zhu and Georg Martius, "Embodied Exploration Strategy for Off-Policy Reinforcement Learning"
• Antonio Loquercio and Davide Scaramuzza, "Learning to Control Drones in Natural Environments: A Survey"
• Asif Iqbal and Nicholas Gans, "Object Localization and Loop Closure in SLAM"