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Sequential Decision Making

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Showing 301–350 of 1210 papers

TitleStatusHype
Fast Value Tracking for Deep Reinforcement Learning—0
Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian MotionCode0
Supervised Fine-Tuning as Inverse Reinforcement Learning—0
State-Separated SARSA: A Practical Sequential Decision-Making Algorithm with Recovering Rewards—0
Distributed Multi-Objective Dynamic Offloading Scheduling for Air-Ground Cooperative MEC—0
Regret Minimization via Saddle Point Optimization—0
AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents—0
Reinforced Sequential Decision-Making for Sepsis Treatment: The POSNEGDM Framework with Mortality Classifier and TransformerCode1
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation—0
LinearAPT: An Adaptive Algorithm for the Fixed-Budget Thresholding Linear Bandit Problem—0
TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned DecisionCode1
Inverse Design of Photonic Crystal Surface Emitting Lasers is a Sequence Modeling Problem—0
Cooperative Bayesian Optimization for Imperfect Agents—0
A Survey on Applications of Reinforcement Learning in Spatial Resource Allocation—0
Language Guided Exploration for RL Agents in Text Environments—0
On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games—0
Adaptive Learning Rate for Follow-the-Regularized-Leader: Competitive Analysis and Best-of-Both-Worlds—0
Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections—0
How Can LLM Guide RL? A Value-Based ApproachCode1
Reward Design for Justifiable Sequential Decision-MakingCode0
Information-Theoretic Safe Bayesian Optimization—0
On the Performance of Empirical Risk Minimization with Smoothed Data—0
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay—0
Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future DirectionsCode2
Toward TransfORmers: Revolutionizing the Solution of Mixed Integer Programs with Transformers—0
Align Your Intents: Offline Imitation Learning via Optimal Transport—0
Self-evolving Autoencoder Embedded Q-Network—0
Probability Tools for Sequential Random Projection—0
PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in ControlCode1
Jack of All Trades, Master of Some, a Multi-Purpose Transformer AgentCode2
Epistemic Exploration for Generalizable Planning and Learning in Non-Stationary SettingsCode0
Online Sequential Decision-Making with Unknown Delays—0
Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian OptimizationCode0
Auxiliary Reward Generation with Transition Distance Representation Learning—0
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive LossCode1
Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming—0
Sym-Q: Adaptive Symbolic Regression via Sequential Decision-MakingCode1
Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning AgentsCode0
A Reinforcement Learning Approach for Dynamic Rebalancing in Bike-Sharing System—0
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable SkillsCode1
Multi-Agent Reinforcement Learning for Offloading Cellular Communications with Cooperating UAVs—0
Vertical Symbolic Regression via Deep Policy GradientCode0
Zero-Shot Reinforcement Learning via Function EncodersCode0
Layered and Staged Monte Carlo Tree Search for SMT Strategy SynthesisCode1
Regularized Q-Learning with Linear Function Approximation—0
Long-Term Fair Decision Making through Deep Generative ModelsCode0
Stochastic Dynamic Power Dispatch with High Generalization and Few-Shot Adaption via Contextual Meta Graph Reinforcement Learning—0
Learning Non-myopic Power Allocation in Constrained ScenariosCode0
LLMs for Relational Reasoning: How Far are We?—0
Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedback—0
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