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Model-based Reinforcement Learning

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Showing 151–200 of 708 papers

TitleStatusHype
Enhancing Offline Model-Based RL via Active Model Selection: A Bayesian Optimization Perspective—0
PrivilegedDreamer: Explicit Imagination of Privileged Information for Rapid Adaptation of Learned Policies—0
Towards Empowerment Gain through Causal Structure Learning in Model-Based RL—0
Pre-Trained Video Generative Models as World Simulators—0
TD-M(PC)^2: Improving Temporal Difference MPC Through Policy Constraint—0
On Rollouts in Model-Based Reinforcement LearningCode0
Objects matter: object-centric world models improve reinforcement learning in visually complex environments—0
Generative AI for Lyapunov Optimization Theory in UAV-based Low-Altitude Economy Networking—0
AdaWM: Adaptive World Model based Planning for Autonomous Driving—0
GLAM: Global-Local Variation Awareness in Mamba-based World Model—0
Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics—0
EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning—0
Approximating Fixpoints of Approximated Functions—0
Inferring Transition Dynamics from Value Functions—0
A Reduced Order Iterative Linear Quadratic Regulator (ILQR) Technique for the Optimal Control of Nonlinear Partial Differential Equations—0
Knowledge Transfer in Model-Based Reinforcement Learning Agents for Efficient Multi-Task Learning—0
Digital Twin Calibration with Model-Based Reinforcement Learning—0
Stealing That Free Lunch: Exposing the Limits of Dyna-Style Reinforcement Learning—0
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps—0
SimuDICE: Offline Policy Optimization Through World Model Updates and DICE EstimationCode0
Policy-shaped prediction: avoiding distractions in model-based reinforcement learning—0
Data-driven optimal control of unknown nonlinear dynamical systems using the Koopman operator—0
Structure learning with Temporal Gaussian Mixture for model-based Reinforcement Learning—0
The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning—0
Imagine-2-Drive: Leveraging High-Fidelity World Models via Multi-Modal Diffusion Policies—0
Inverse Transition Learning: Learning Dynamics from Demonstrations—0
When to Trust Your Data: Enhancing Dyna-Style Model-Based Reinforcement Learning With Data Filter—0
DODT: Enhanced Online Decision Transformer Learning through Dreamer's Actor-Critic Trajectory Forecasting—0
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement LearningCode0
Make the Pertinent Salient: Task-Relevant Reconstruction for Visual Control with Distractions—0
SOLD: Slot Object-Centric Latent Dynamics Models for Relational Manipulation Learning from Pixels—0
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling—0
Bisimulation metric for Model Predictive ControlCode0
Model-Free versus Model-Based Reinforcement Learning for Fixed-Wing UAV Attitude Control Under Varying Wind Conditions—0
CoLaNET -- A Spiking Neural Network with Columnar Layered Architecture for Classification—0
Enhancing Analogical Reasoning in the Abstraction and Reasoning Corpus via Model-Based RL—0
Model-Based Reinforcement Learning for Control of Strongly-Disturbed Unsteady Aerodynamic Flows—0
Offline Model-Based Reinforcement Learning with Anti-Exploration—0
Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds—0
The Interpretability of Codebooks in Model-Based Reinforcement Learning is Limited—0
Modeling flexible behavior with remapping-based hippocampal sequence learning—0
Model-based Policy Optimization using Symbolic World Model—0
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning—0
Graph Neural Networks with Model-based Reinforcement Learning for Multi-agent Systems—0
FOSP: Fine-tuning Offline Safe Policy through World Models—0
Hybrid RAG-empowered Multi-modal LLM for Secure Data Management in Internet of Medical Things: A Diffusion-based Contract Approach—0
Identifying Ordinary Differential Equations for Data-efficient Model-based Reinforcement Learning—0
State and Input Constrained Output-Feedback Adaptive Optimal Control of Affine Nonlinear Systems—0
Bounding-Box Inference for Error-Aware Model-Based Reinforcement LearningCode0
Infinite-Horizon Reinforcement Learning with Multinomial Logistic Function Approximation—0
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