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Sequential Decision Making
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
LLINBO: Trustworthy LLM-in-the-Loop Bayesian Optimization
AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air
LLM-Stackelberg Games: Conjectural Reasoning Equilibria and Their Applications to Spearphishing
A Survey of Continual Reinforcement Learning
Flow-Based Single-Step Completion for Efficient and Expressive Policy Learning
POLAR: A Pessimistic Model-based Policy Learning Algorithm for Dynamic Treatment Regimes
Efficient Strategy Synthesis for MDPs via Hierarchical Block Decomposition
Multi-Armed Bandits With Machine Learning-Generated Surrogate Rewards
UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making
Common Benchmarks Undervalue the Generalization Power of Programmatic Policies
Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic Environments
Leveraging In-Context Learning for Language Model Agents
Revisiting Clustering of Neural Bandits: Selective Reinitialization for Mitigating Loss of Plasticity
TooBadRL: Trigger Optimization to Boost Effectiveness of Backdoor Attacks on Deep Reinforcement Learning
Towards Responsible AI: Advances in Safety, Fairness, and Accountability of Autonomous Systems
How to Provably Improve Return Conditioned Supervised Learning?
QForce-RL: Quantized FPGA-Optimized Reinforcement Learning Compute Engine
Contextual Experience Replay for Self-Improvement of Language Agents
AutoQD: Automatic Discovery of Diverse Behaviors with Quality-Diversity Optimization
TextAtari: 100K Frames Game Playing with Language Agents
Emergent Risk Awareness in Rational Agents under Resource Constraints
Active Layer-Contrastive Decoding Reduces Hallucination in Large Language Model Generation
Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing
Large Language Models for Planning: A Comprehensive and Systematic Survey
Variational Deep Learning via Implicit Regularization
DDO: Dual-Decision Optimization via Multi-Agent Collaboration for LLM-Based Medical Consultation
Automata Learning of Preferences over Temporal Logic Formulas from Pairwise Comparisons
Web-Shepherd: Advancing PRMs for Reinforcing Web Agents
Reward Is Enough: LLMs Are In-Context Reinforcement Learners
Vid2World: Crafting Video Diffusion Models to Interactive World Models
Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation
OMGPT: A Sequence Modeling Framework for Data-driven Operational Decision Making
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics
Generalization Guarantees for Learning Branch-and-Cut Policies in Integer Programming
Comparing Exploration-Exploitation Strategies of LLMs and Humans: Insights from Standard Multi-armed Bandit Tasks
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