model-based learning

MobILE: Model-Based Imitation Learning From Observation Alone NeurIPS 2021 Model-Based 3D Hand Reconstruction via Self-Supervised Learning CVPR 2021 Neuro-algorithmic Policies Enable Fast Combinatorial Generalization ICML 2021 Probabilistic Programming Bots in Intuitive Physics Game Play AAAI 2021 Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature NeurIPS 2021 Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model NeurIPS 2021 Compact task representations as a normative model for higher-order brain activity NeurIPS 2020 Learning Predictive Representations for Deformable Objects Using Contrastive Estimation CoRL 2020 Differentiable Algorithm Networks for Composable Robot Learning RSS 2019 Learning Factored Markov Decision Processes with Unawareness UAI 2019 Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net CVPR 2019 Off-policy Model-based Learning under Unknown Factored Dynamics ICML 2015 Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints RSS 2014 Bayesian Hierarchical 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 Exploiting Best-Match Equations for Efficient Reinforcement Learning JMLR 2011 Closing the Learning-Planning Loop with Predictive State Representations RSS 2010 Reinforcement Learning in Finite MDPs: PAC Analysis JMLR 2009 Multi-resolution Exploration in Continuous Spaces NeurIPS 2008