conftrace_

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

Learning the Reward Function for a Misspecified Model ICML 2018
Fast Model Identification via Physics Engines for Data-Efficient Policy Search IJCAI 2018
Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains IJCAI 2018
Adaptable replanning with compressed linear action models for learning from demonstrations CORL 2018
Lipschitz Continuity in Model-based Reinforcement Learning ICML 2018
Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation ICML 2018
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos ICML 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization CORL 2018
Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control AISTATS 2018
Generative Temporal Models with Spatial Memory for Partially Observed Environments ICML 2018
Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning ACL 2018
Data center cooling using model-predictive control NIPS 2018
Dual Policy Iteration NIPS 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models NIPS 2018
Object-Oriented Dynamics Predictor NIPS 2018
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces NIPS 2018
Iterative Value-Aware Model Learning NIPS 2018
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion NIPS 2018
End-to-End Differentiable Adversarial Imitation Learning ICML 2017
Extending Model-based Policy Gradients for Robots in Heteroscedastic Environments CORL 2017
Constrained Bayesian Reinforcement Learning via Approximate Linear Programming IJCAI 2017
Value-Aware Loss Function for Model-based Reinforcement Learning AISTATS 2017
Value Prediction Network NIPS 2017
Optimizing Long-term Predictions for Model-based Policy Search CORL 2017
Dynamic-Depth Context Tree Weighting NIPS 2017