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Model-based Reinforcement Learning
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
On Quantum BSDE Solver for High-Dimensional Parabolic PDEs
Relative Entropy Regularized Reinforcement Learning for Efficient Encrypted Policy Synthesis
Accelerating Model-Based Reinforcement Learning using Non-Linear Trajectory Optimization
Bregman Centroid Guided Cross-Entropy Method
World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks
Calibrated Value-Aware Model Learning with Stochastic Environment Models
JEDI: Latent End-to-end Diffusion Mitigates Agent-Human Performance Asymmetry in Model-Based Reinforcement Learning
MedDreamer: Model-Based Reinforcement Learning with Latent Imagination on Complex EHRs for Clinical Decision Support
Deep Active Inference Agents for Delayed and Long-Horizon Environments
Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2)
Gaze Into the Abyss -- Planning to Seek Entropy When Reward is Scarce
Improving planning and MBRL with temporally-extended actions
Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning
Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning
Multi-Goal Dexterous Hand Manipulation using Probabilistic Model-based Reinforcement Learning
Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic Flows
PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation
Learning global control of underactuated systems with Model-Based Reinforcement Learning
Probabilistic Pontryagin's Maximum Principle for Continuous-Time Model-Based Reinforcement Learning
Learning with Imperfect Models: When Multi-step Prediction Mitigates Compounding Error
Probabilistically safe and efficient model-based Reinforcement Learning
Look Before Leap: Look-Ahead Planning with Uncertainty in Reinforcement Learning
Perspective-Shifted Neuro-Symbolic World Models: A Framework for Socially-Aware Robot Navigation
Continual Reinforcement Learning for HVAC Systems Control: Integrating Hypernetworks and Transfer Learning
Counterfactual experience augmented off-policy reinforcement learning
Entropy-regularized Gradient Estimators for Approximate Bayesian Inference
Towards Causal Model-Based Policy Optimization
Enhancing Traffic Signal Control through Model-based Reinforcement Learning and Policy Reuse
InDRiVE: Intrinsic Disagreement based Reinforcement for Vehicle Exploration through Curiosity Driven Generalized World Model
Knowledge Retention for Continual Model-Based Reinforcement Learning
Learning Transformer-based World Models with Contrastive Predictive Coding
World Models for Anomaly Detection during Model-Based Reinforcement Learning Inference
Differentiable Information Enhanced Model-Based Reinforcement Learning
Spiking World Model with Multi-Compartment Neurons for Model-based Reinforcement Learning
Multimodal Dreaming: A Global Workspace Approach to World Model-Based Reinforcement Learning
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