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Robotics

2069 directly classified papers

Papers per year

Papers

Data-Efficient Hierarchical Reinforcement Learning NIPS 2018
Learning to Navigate in Cities Without a Map NIPS 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation NIPS 2018
Differentiable MPC for End-to-end Planning and Control NIPS 2018
Hardware Conditioned Policies for Multi-Robot Transfer Learning NIPS 2018
Object-Oriented Dynamics Predictor NIPS 2018
A Lyapunov-based Approach to Safe Reinforcement Learning NIPS 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models NIPS 2018
FFNet: Video Fast-Forwarding via Reinforcement Learning CVPR 2018
Alternating-Stereo VINS: Observability Analysis and Performance Evaluation CVPR 2018
Reward Learning From Narrated Demonstrations CVPR 2018
Sim2Real Viewpoint Invariant Visual Servoing by Recurrent Control CVPR 2018
Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments CVPR 2018
Embodied Question Answering CVPR 2018
ScoutBot: A Dialogue System for Collaborative Navigation ACL 2018
Restricted Communication in Online Multi-Robot Exploration IJCAI 2018
Decision-Making Under Uncertainty in Multi-Agent and Multi-Robot Systems: Planning and Learning IJCAI 2018
Multi-Robot Motion Planning with Dynamics Guided by Multi-Agent Search IJCAI 2018
Learning Unmanned Aerial Vehicle Control for Autonomous Target Following IJCAI 2018
Programmatically Interpretable Reinforcement Learning ICML 2018
Structured Control Nets for Deep Reinforcement Learning ICML 2018
Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control ICML 2018
Virtual-to-Real: Learning to Control in Visual Semantic Segmentation IJCAI 2018
Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control AISTATS 2018
Learning Structural Weight Uncertainty for Sequential Decision-Making AISTATS 2018