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Model-based Reinforcement Learning

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Showing 551–600 of 708 papers

TitleStatusHype
Online No-regret Model-Based Meta RL for Personalized Navigation—0
Towards Tractable Optimism in Model-Based Reinforcement Learning—0
On Quantum BSDE Solver for High-Dimensional Parabolic PDEs—0
On the Benefits of Leveraging Structural Information in Planning Over the Learned Model—0
Model-Based Reinforcement Learning with a Generative Model is Minimax Optimal—0
On the role of planning in model-based deep reinforcement learning—0
On Trade-offs of Image Prediction in Visual Model-Based Reinforcement Learning—0
Operator Shifting for Model-based Policy Evaluation—0
Opportunities of Hybrid Model-based Reinforcement Learning for Cell Therapy Manufacturing Process Control—0
Optimal Decision-Making in Mixed-Agent Partially Observable Stochastic Environments via Reinforcement Learning—0
Optimistic MLE -- A Generic Model-based Algorithm for Partially Observable Sequential Decision Making—0
Joint Perception and Control as Inference with an Object-based Implementation—0
Output Feedback Adaptive Optimal Control of Affine Nonlinear systems with a Linear Measurement Model—0
Partial Models for Building Adaptive Model-Based Reinforcement Learning Agents—0
Particle MPC for Uncertain and Learning-Based Control—0
Performance Optimization for Variable Bitwidth Federated Learning in Wireless Networks—0
Personalized Dynamics Models for Adaptive Assistive Navigation Systems—0
Physical Derivatives: Computing policy gradients by physical forward-propagation—0
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control—0
PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation—0
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference—0
Planning with Expectation Models—0
Planning with Expectation Models for Control—0
Planning with Exploration: Addressing Dynamics Bottleneck in Model-based Reinforcement Learning—0
Epistemic Monte Carlo Tree Search—0
Plug and Play, Model-Based Reinforcement Learning—0
Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning—0
Policy Error Bounds for Model-Based Reinforcement Learning with Factored Linear Models—0
Policy Optimization In the Face of Uncertainty—0
Policy Optimization with Model-based Explorations—0
Policy Prediction Network: Model-Free Behavior Policy with Model-Based Learning in Continuous Action Space—0
Policy-shaped prediction: avoiding distractions in model-based reinforcement learning—0
Policy Tree Network—0
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning—0
Predictive Control Using Learned State Space Models via Rolling Horizon Evolution—0
Learning-to-defer for sequential medical decision-making under uncertainty—0
Pre-Trained Video Generative Models as World Simulators—0
PrivilegedDreamer: Explicit Imagination of Privileged Information for Rapid Adaptation of Learned Policies—0
Procedural Generalization by Planning with Self-Supervised World Models—0
Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning—0
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization—0
Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization—0
Q-CP: Learning Action Values for Cooperative Planning—0
Lipschitz Continuity in Model-based Reinforcement LearningCode0
Live in the Moment: Learning Dynamics Model Adapted to Evolving PolicyCode0
Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement LearningCode0
Non-zero-sum Game Control for Multi-vehicle Driving via Reinforcement LearningCode0
Go Beyond Black-box Policies: Rethinking the Design of Learning Agent for Interpretable and Verifiable HVAC ControlCode0
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language NavigationCode0
Object-Oriented Dynamics PredictorCode0
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