Planning

Integrated Common Sense Learning and Planning in POMDPs JMLR 2016 Interaction Networks for Learning about Objects, Relations and Physics NeurIPS 2016 Learning Online Smooth Predictors for Realtime Camera Planning Using Recurrent Decision Trees CVPR 2016 Motion Planning as Probabilistic Inference using Gaussian Processes and Factor Graphs RSS 2016 Multi-Objective Markov Decision Processes for Data-Driven Decision Support JMLR 2016 Near Optimal Behavior via Approximate State Abstraction ICML 2016 On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search ICML 2016 Open Problem: Approximate Planning of POMDPs in the class of Memoryless Policies COLT 2016 Planar Time Optimal Paths for Non-Symmetric Vehicles in Constant Flows RSS 2016 Planning for Autonomous Cars that Leverage Effects on Human Actions RSS 2016 Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd CVPR 2016 Representing and Learning Complex Object Interactions RSS 2016 Safe Control under Uncertainty with Probabilistic Signal Temporal Logic RSS 2016 Strategic Attentive Writer for Learning Macro-Actions NeurIPS 2016 Temporal Action Detection Using a Statistical Language Model CVPR 2016 Tree-Structured Reinforcement Learning for Sequential Object Localization NeurIPS 2016 Using Fast Weights to Attend to the Recent Past NeurIPS 2016 Adaptive Stochastic Optimization: From Sets to Paths NeurIPS 2015 A Spatiotemporal Optimal Stopping Problem for Mission Monitoring with Stationary Viewpoints RSS 2015 A Theory of Decision Making Under Dynamic Context NeurIPS 2015 Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze–like Environments NeurIPS 2015 Data-Driven Online Decision Making for Autonomous Manipulation RSS 2015 Data-Driven Topological Motion Planning with Persistent Cohomology RSS 2015 Data Generation as Sequential Decision Making NeurIPS 2015 DeepMPC: Learning Deep Latent Features for Model Predictive Control RSS 2015