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model-based reinforcement learning
model-based reinforcement learning
415 papers
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Also known as
MBRL
MODEL-BASED RL
Co-occurring keywords
sample efficiency
(472)
world model
(189)
offline reinforcement learning
(492)
policy optimization
(657)
reinforcement learning
(4352)
dynamics model
(67)
markov decision process
(790)
continuous control
(246)
sample complexity
(1169)
deep reinforcement learning
(903)
Papers
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning
ICML 2017
Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning
CORL 2017
Data-Efficient Reinforcement Learning in Continuous State-Action Gaussian-POMDPs
NIPS 2017
Imagination-Augmented Agents for Deep Reinforcement Learning
NIPS 2017
Safe Model-based Reinforcement Learning with Stability Guarantees
NIPS 2017
Policy Error Bounds for Model-Based Reinforcement Learning with Factored Linear Models
COLT 2016
Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning
ICML 2016
Safe Policy Improvement by Minimizing Robust Baseline Regret
NIPS 2016
Continuous Deep Q-Learning with Model-based Acceleration
ICML 2016
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
NIPS 2015
Sample Efficient Path Integral Control under Uncertainty
NIPS 2015
Learning Continuous Control Policies by Stochastic Value Gradients
NIPS 2015
Off-policy Model-based Learning under Unknown Factored Dynamics
ICML 2015
Abstraction Selection in Model-based Reinforcement Learning
ICML 2015
A Deeper Look at Planning as Learning from Replay
ICML 2015
Model-Based Relational RL When Object Existence is Partially Observable
ICML 2014
Model-based Reinforcement Learning and the Eluder Dimension
NIPS 2014
Using Trajectory Data to Improve Bayesian Optimization for Reinforcement Learning
JMLR 2014
Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints
RSS 2014
Efficient Learning and Planning with Compressed Predictive States
JMLR 2014
Sample Efficient Reinforcement Learning with Gaussian Processes
ICML 2014
Planning by Prioritized Sweeping with Small Backups
ICML 2013
Bayesian Learning of Recursively Factored Environments
ICML 2013
Online Feature Selection for Model-based Reinforcement Learning
ICML 2013
Integrating a Partial Model into Model Free Reinforcement Learning
JMLR 2012
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