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model-based learning

43 papers

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Co-occurring keywords

model-based reinforcement learning (415) reinforcement learning (4122) markov decision process (788) model-free learning (51) offline reinforcement learning (492) sample complexity (1158) policy learning (699) image restoration (1515) sample efficiency (469) image fusion (148)

Papers

NeuPAN: Direct Point Robot Navigation with End-to-End Model-Based Learning (Abstract Reprint) AAAI 2026
MUSE: Model-based Uncertainty-aware Similarity Estimation for zero-shot 2D Object Detection and Segmentation WACV 2026
MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning AAAI 2025
On task-relevant loss functions in meta-reinforcement learning L4DC 2024
Unsupervised Model-Based Learning for Simultaneous Video Deflickering and Deblotching WACV 2024
A PAC Learning Algorithm for LTL and Omega-Regular Objectives in MDPs AAAI 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning NIPS 2024
Model-based Preference Optimization in Abstractive Summarization without Human Feedback EMNLP 2024
Model-based Diffusion for Trajectory Optimization NIPS 2024
Model-Based Offline Weighted Policy Optimization (Student Abstract) AAAI 2023
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
Simultaneous Learning of Contact and Continuous Dynamics CORL 2023
Discriminator-Guided Model-Based Offline Imitation Learning CORL 2022
A Piecewise Learning Framework for Control of Unknown Nonlinear Systems with Stability Guarantees L4DC 2022
Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction IJCAI 2022
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning AAAI 2022
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments NIPS 2022
Model-Based Imitation Learning for Urban Driving NIPS 2022
Proximal PanNet: A Model-Based Deep Network for Pansharpening AAAI 2022
Learning and Planning in Complex Action Spaces ICML 2021
Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature NIPS 2021
Artificial Intelligence and Machine Learning for Autonomous Agents that Learn to Plan and Operate in Unpredictable Dynamic Environments AAAI 2021
Adaptive Consistency Prior Based Deep Network for Image Denoising CVPR 2021
Model-Based 3D Hand Reconstruction via Self-Supervised Learning CVPR 2021