model-based reinforcement learning

Constrained Bayesian Reinforcement Learning via Approximate Linear Programming IJCAI 2017 Data-Efficient Reinforcement Learning in Continuous State-Action Gaussian-POMDPs NeurIPS 2017 Dynamic-Depth Context Tree Weighting NeurIPS 2017 End-to-End Differentiable Adversarial Imitation Learning ICML 2017 Extending Model-based Policy Gradients for Robots in Heteroscedastic Environments CoRL 2017 Imagination-Augmented Agents for Deep Reinforcement Learning NeurIPS 2017 Optimizing Long-term Predictions for Model-based Policy Search CoRL 2017 Safe Model-based Reinforcement Learning with Stability Guarantees NeurIPS 2017 Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning CoRL 2017 Value-Aware Loss Function for Model-based Reinforcement Learning AISTATS 2017 Value Prediction Network NeurIPS 2017 Continuous Deep Q-Learning with Model-based Acceleration ICML 2016 Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning ICML 2016 Policy Error Bounds for Model-Based Reinforcement Learning with Factored Linear Models COLT 2016 Safe Policy Improvement by Minimizing Robust Baseline Regret NeurIPS 2016 Abstraction Selection in Model-based Reinforcement Learning ICML 2015 A Deeper Look at Planning as Learning from Replay ICML 2015 Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images NeurIPS 2015 Learning Continuous Control Policies by Stochastic Value Gradients NeurIPS 2015 Off-policy Model-based Learning under Unknown Factored Dynamics ICML 2015 Sample Efficient Path Integral Control under Uncertainty NeurIPS 2015 Efficient Learning and Planning with Compressed Predictive States JMLR 2014 Model-based Reinforcement Learning and the Eluder Dimension NeurIPS 2014 Model-Based Relational RL When Object Existence is Partially Observable ICML 2014 Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints RSS 2014