Robotics

Learning Robot Objectives from Physical Human Interaction CoRL 2017 Modular Multitask Reinforcement Learning with Policy Sketches ICML 2017 Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets NeurIPS 2017 Multi-Task Deep Reinforcement Learning for Continuous Action Control IJCAI 2017 Non-parametric Policy Search with Limited Information Loss JMLR 2017 One-Shot Imitation Learning NeurIPS 2017 Online Decision-Making for Scalable Autonomous Systems IJCAI 2017 On the Power and Limitations of Deception in Multi-Robot Adversarial Patrolling IJCAI 2017 PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning CVPR 2017 Process Plan Controllers for Non-Deterministic Manufacturing Systems IJCAI 2017 QMDP-Net: Deep Learning for Planning under Partial Observability NeurIPS 2017 Reinforcement Learning with Deep Energy-Based Policies ICML 2017 Relational Reinforcement Learning for Planning with Exogenous Effects JMLR 2017 Safe Model-based Reinforcement Learning with Stability Guarantees NeurIPS 2017 Safety-Aware Algorithms for Adversarial Contextual Bandit ICML 2017 Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics ICML 2017 Temporal Grounding Graphs for Language Understanding with Accrued Visual-Linguistic Context IJCAI 2017 Tensor Based Knowledge Transfer Across Skill Categories for Robot Control IJCAI 2017 Thompson Sampling for Linear-Quadratic Control Problems AISTATS 2017 Towards Generalization and Simplicity in Continuous Control NeurIPS 2017 Underactuated tendon-driven robotic/prosthetic hands: design issues RSS 2017 Unsupervised Perceptual Rewards for Imitation Learning RSS 2017 Verifying Fault-tolerance in Parameterised Multi-Agent Systems IJCAI 2017 World of Bits: An Open-Domain Platform for Web-Based Agents ICML 2017 Adaptive optimal training of animal behavior NeurIPS 2016