Motion Perception in Reinforcement Learning with Dynamic Objects

Motion Perception in Reinforcement Learning with Dynamic Objects

10 January 2019

Artemij Amiranashvili

Alexey Dosovitskiy

Thomas Brox

Papers citing "Motion Perception in Reinforcement Learning with Dynamic Objects"

9 / 9 papers shown

Title
GAFlow: Incorporating Gaussian Attention into Optical Flow Ao Luo Fan Yang Xin Li Lang Nie Chunyu Lin Haoqiang Fan Shuaicheng Liu 41 22 0 28 Sep 2023
ReProHRL: Towards Multi-Goal Navigation in the Real World using Hierarchical Agents Tejaswini Manjunath Mozhgan Navardi P. Dixit Bharat Prakash T. Mohsenin 13 7 0 17 Aug 2023
Unified Control Framework for Real-Time Interception and Obstacle Avoidance of Fast-Moving Objects with Diffusion Variational Autoencoder Apan Dastider Hao Fang Mingjie Lin 26 1 0 27 Sep 2022
FlowBot3D: Learning 3D Articulation Flow to Manipulate Articulated Objects Ben Eisner Harry Zhang David Held 38 89 0 09 May 2022
Practical Imitation Learning in the Real World via Task Consistency Loss Mohi Khansari Daniel Ho Yuqing Du Armando Fuentes Matthew Bennice Nicolas Sievers Sean Kirmani Yunfei Bai Eric Jang SSL 22 8 0 03 Feb 2022
FlowControl: Optical Flow Based Visual Servoing Max Argus Lukás Hermann Jon Long Thomas Brox 22 25 0 01 Jul 2020
Modeling Long-horizon Tasks as Sequential Interaction Landscapes Soren Pirk Karol Hausman Alexander Toshev Mohi Khansari 22 27 0 08 Jun 2020
Balance Between Efficient and Effective Learning: Dense2Sparse Reward Shaping for Robot Manipulation with Environment Uncertainty Yongle Luo Kun Dong Lili Zhao Zhiyong Sun Chao Zhou Bo Song 34 13 0 05 Mar 2020
Learning Actionable Representations from Visual Observations Debidatta Dwibedi Jonathan Tompson Corey Lynch P. Sermanet SSL 22 80 0 02 Aug 2018