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Model-Based RL

43 papers

Papers per year

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Papers

Examination and Extension of Strategies for Improving Personalized Language Modeling via Interpolation ACL 2020
Uncertainty Based Camera Model Selection CVPR 2020
Explicit Explore-Exploit Algorithms in Continuous State Spaces NIPS 2019
When to use parametric models in reinforcement learning? NIPS 2019
Regularizing Trajectory Optimization with Denoising Autoencoders NIPS 2019
When to Trust Your Model: Model-Based Policy Optimization NIPS 2019
Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning AAAI 2019
Iterative Value-Aware Model Learning NIPS 2018
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos ICML 2018
Learning the Reward Function for a Misspecified Model ICML 2018
Learning Deep CNN Denoiser Prior for Image Restoration CVPR 2017
Environmental statistics and the trade-off between model-based and TD learning in humans NIPS 2011
Self-Paced Learning for Latent Variable Models NIPS 2010
Closing the Learning-Planning Loop with Predictive State Representations RSS 2010
Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability NIPS 2009
Multi-Step Dyna Planning for Policy Evaluation and Control NIPS 2009
Online Linear Regression and Its Application to Model-Based Reinforcement Learning NIPS 2007
What makes some POMDP problems easy to approximate? NIPS 2007