model learning

Learning Safe Action Models with Partial Observability AAAI 2024 How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization NeurIPS 2023 Learning Safe Numeric Action Models AAAI 2023 Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates NeurIPS 2023 TaskMet: Task-driven Metric Learning for Model Learning NeurIPS 2023 Learning POMDP Models with Similarity Space Regularization: a Linear Gaussian Case Study L4DC 2022 ARDL - A Library for Adaptive Robotic Dynamics Learning L4DC 2021 Learning How to Solve “Bubble Ball” L4DC 2021 Muesli: Combining Improvements in Policy Optimization ICML 2021 Passive learning of Timed Automata from logs (Student Abstract) AAAI 2021 Gradient-Aware Model-Based Policy Search AAAI 2020 On a possibility of gradual model-learning PGM 2020 Value-driven Hindsight Modelling NeurIPS 2020 Inverting Learned Dynamics Models for Aggressive Multirotor Control RSS 2019 Auto-Encoding Sequential Monte Carlo ICLR 2018 Boosting Combinatorial Problem Modeling with Machine Learning IJCAI 2018 CHARDA: Causal Hybrid Automata Recovery via Dynamic Analysis IJCAI 2017 Game Engine Learning from Video IJCAI 2017 Learning in POMDPs with Monte Carlo Tree Search ICML 2017 A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes JMLR 2011 Closing the Learning-Planning Loop with Predictive State Representations RSS 2010 Nonparametric Bayesian Policy Priors for Reinforcement Learning NeurIPS 2010 Simple Local Models for Complex Dynamical Systems NeurIPS 2008