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Model-Based RL

43 directly classified papers

Papers per year

Papers

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