Model-Based RL

Bayes-Adaptive Simulation-based Search with Value Function Approximation NeurIPS 2014 Model-based Reinforcement Learning and the Eluder Dimension NeurIPS 2014 Near-optimal Reinforcement Learning in Factored MDPs NeurIPS 2014 Universal Option Models NeurIPS 2014 Aggregating Optimistic Planning Trees for Solving Markov Decision Processes NeurIPS 2013 Optimal Regret Bounds for Selecting the State Representation in Reinforcement Learning ICML 2013 Cost-Sensitive Exploration in Bayesian Reinforcement Learning NeurIPS 2012 Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress NeurIPS 2012 Transferring Expectations in Model-based Reinforcement Learning NeurIPS 2012 Environmental statistics and the trade-off between model-based and TD learning in humans NeurIPS 2011 Distributionally Robust Markov Decision Processes NeurIPS 2010 Improving Existing Fault Recovery Policies NeurIPS 2009 Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability NeurIPS 2009 Multi-Step Dyna Planning for Policy Evaluation and Control NeurIPS 2009 Multi-resolution Exploration in Continuous Spaces NeurIPS 2008 Online Linear Regression and Its Application to Model-Based Reinforcement Learning NeurIPS 2007