Planning

Variational Policy Search via Trajectory Optimization NeurIPS 2013 Action-Model Based Multi-agent Plan Recognition NeurIPS 2012 Asymptotically-optimal Path Planning on Manifolds RSS 2012 Contextual Sequence Prediction with Application to Control Library Optimization RSS 2012 Controlled Recognition Bounds for Visual Learning and Exploration NeurIPS 2012 E-Graphs: Bootstrapping Planning with Experience Graphs RSS 2012 Guaranteeing High-Level Behaviors while Exploring Partially Known Maps RSS 2012 Hierarchical Motion Planning in Topological Representations RSS 2012 Hierarchical Optimistic Region Selection driven by Curiosity NeurIPS 2012 How Prior Probability Influences Decision Making: A Unifying Probabilistic Model NeurIPS 2012 Learned Prioritization for Trading Off Accuracy and Speed NeurIPS 2012 Learning Partially Observable Models Using Temporally Abstract Decision Trees NeurIPS 2012 Multi-objective Monte-Carlo Tree Search ACML 2012 On Average Reward Policy Evaluation in Infinite-State Partially Observable Systems AISTATS 2012 On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference RSS 2012 On the Use of Non-Stationary Policies for Stationary Infinite-Horizon Markov Decision Processes NeurIPS 2012 Optimal Control with Weighted Average Costs and Temporal Logic Specifications RSS 2012 Optimistic planning for Markov decision processes AISTATS 2012 Physics-Based Grasp Planning Through Clutter RSS 2012 Probabilistic Temporal Logic for Motion Planning with Resource Threshold Constraints RSS 2012 Recognition, Prediction, and Planning for Assisted Teleoperation of Freeform Tasks RSS 2012 Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds NeurIPS 2012 Robust Navigation Execution by Planning in Belief Space RSS 2012 Symbolic Dynamic Programming for Continuous State and Observation POMDPs NeurIPS 2012 The adversarial stochastic shortest path problem with unknown transition probabilities AISTATS 2012