model-based reinforcement learning

Sample Efficient Reinforcement Learning with Gaussian Processes ICML 2014 Using Trajectory Data to Improve Bayesian Optimization for Reinforcement Learning JMLR 2014 Bayesian Learning of Recursively Factored Environments ICML 2013 Online Feature Selection for Model-based Reinforcement Learning ICML 2013 Planning by Prioritized Sweeping with Small Backups ICML 2013 Bayesian Hierarchical Reinforcement Learning NeurIPS 2012 Cost-Sensitive Exploration in Bayesian Reinforcement Learning NeurIPS 2012 Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NeurIPS 2012 Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress NeurIPS 2012 Exploration in Relational Domains for Model-based Reinforcement Learning JMLR 2012 Integrating a Partial Model into Model Free Reinforcement Learning JMLR 2012 Transferring Expectations in Model-based Reinforcement Learning NeurIPS 2012 Agnostic KWIK learning and efficient approximate reinforcement learning COLT 2011 Environmental statistics and the trade-off between model-based and TD learning in humans NeurIPS 2011 Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning RSS 2011 Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability NeurIPS 2009 Multi-Step Dyna Planning for Policy Evaluation and Control NeurIPS 2009 Online Linear Regression and Its Application to Model-Based Reinforcement Learning NeurIPS 2007 Receding Horizon Differential Dynamic Programming NeurIPS 2007 An Application of Reinforcement Learning to Aerobatic Helicopter Flight NeurIPS 2006 R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning JMLR 2002