model-based reinforcement learning

Efficient Planning in a Compact Latent Action Space ICLR 2023 Facing Off World Model Backbones: RNNs, Transformers, and S4 NeurIPS 2023 Finetuning Offline World Models in the Real World CoRL 2023 FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems ICML 2023 Go Beyond Imagination: Maximizing Episodic Reachability with World Models ICML 2023 Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes ICML 2023 How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization NeurIPS 2023 How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations CoRL 2023 Hyperbolic VAE via Latent Gaussian Distributions NeurIPS 2023 Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function ICLR 2023 Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching L4DC 2023 LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios NeurIPS 2023 Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy ICML 2023 Low Emission Building Control with Zero-Shot Reinforcement Learning AAAI 2023 Making Better Decision by Directly Planning in Continuous Control ICLR 2023 Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels ICML 2023 Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration NeurIPS 2023 Mode-constrained Model-based Reinforcement Learning via Gaussian Processes AISTATS 2023 Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity JMLR 2023 Model-based Offline Reinforcement Learning with Count-based Conservatism ICML 2023 Model-Based Offline Reinforcement Learning with Local Misspecification AAAI 2023 Model-Based Reinforcement Learning for Cavity Filter Tuning L4DC 2023 Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation AAAI 2023 Model-based Reinforcement Learning with Scalable Composite Policy Gradient Estimators ICML 2023 Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms NeurIPS 2023