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model-based learning

45 papers

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Co-occurring keywords · papers mentioning both

model-based reinforcement learning (13) reinforcement learning (13) markov decision process (5) model-free learning (5) offline reinforcement learning (4) sample complexity (3) policy learning (3) uncertainty estimation (3) image restoration (3) online learning (3)

Papers

MUSE: Model-based Uncertainty-aware Similarity Estimation for zero-shot 2D Object Detection and Segmentation WACV 2026 NeuPAN: Direct Point Robot Navigation with End-to-End Model-Based Learning (Abstract Reprint) AAAI 2026 MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning AAAI 2025 A PAC Learning Algorithm for LTL and Omega-Regular Objectives in MDPs AAAI 2024 Model-based Diffusion for Trajectory Optimization NeurIPS 2024 Model-based Preference Optimization in Abstractive Summarization without Human Feedback EMNLP 2024 Model-Based Transfer Learning for Contextual Reinforcement Learning NeurIPS 2024 On task-relevant loss functions in meta-reinforcement learning L4DC 2024 SELFI: Autonomous Self-Improvement with RL for Vision-Based Navigation around People CoRL 2024 Truly No-Regret Learning in Constrained MDPs ICML 2024 Unsupervised Model-Based Learning for Simultaneous Video Deflickering and Deblotching WACV 2024 Diff-LfD: Contact-aware Model-based Learning from Visual Demonstration for Robotic Manipulation via Differentiable Physics-based Simulation and Rendering CoRL 2023 Investigating the Role of Model-Based Learning in Exploration and Transfer ICML 2023 Model-Based Offline Weighted Policy Optimization (Student Abstract) AAAI 2023 Simultaneous Learning of Contact and Continuous Dynamics CoRL 2023 Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction IJCAI 2022 A Piecewise Learning Framework for Control of Unknown Nonlinear Systems with Stability Guarantees L4DC 2022 DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning AAAI 2022 Discriminator-Guided Model-Based Offline Imitation Learning CoRL 2022 Model-Based Imitation Learning for Urban Driving NeurIPS 2022 Proximal PanNet: A Model-Based Deep Network for Pansharpening AAAI 2022 SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments NeurIPS 2022 Adaptive Consistency Prior Based Deep Network for Image Denoising CVPR 2021 Artificial Intelligence and Machine Learning for Autonomous Agents that Learn to Plan and Operate in Unpredictable Dynamic Environments AAAI 2021 Learning and Planning in Complex Action Spaces ICML 2021