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Sequential Decision Making

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Showing 351–375 of 1210 papers

TitleStatusHype
Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedback—0
Graph Q-Learning for Combinatorial Optimization—0
Interactions between dynamic team composition and coordination: An agent-based modeling approach—0
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond—0
Decision Making in Non-Stationary Environments with Policy-Augmented SearchCode0
Towards an Adaptable and Generalizable Optimization Engine in Decision and Control: A Meta Reinforcement Learning Approach—0
Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision ProcessesCode0
Harnessing the Power of Federated Learning in Federated Contextual BanditsCode0
Solving Long-run Average Reward Robust MDPs via Stochastic GamesCode0
Risk-Sensitive Stochastic Optimal Control as Rao-Blackwellized Markovian Score ClimbingCode0
Parameterized Projected Bellman OperatorCode0
Robust Active Measuring under Model UncertaintyCode0
Evaluating and Enhancing Large Language Models for Conversational Reasoning on Knowledge GraphsCode0
Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints—0
Risk-Aware Continuous Control with Neural Contextual BanditsCode0
A Customizable Generator for Comic-Style Visual Narrative—0
Learning adaptive planning representations with natural language guidance—0
Online Decision Making with History-Average Dependent Costs (Extended)Code0
LLF-Bench: Benchmark for Interactive Learning from Language FeedbackCode1
A Review of Cooperation in Multi-agent Learning—0
Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision MakingCode0
Distributed Optimization via Kernelized Multi-armed Bandits—0
Generalization to New Sequential Decision Making Tasks with In-Context Learning—0
Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI GymCode1
Visual Encoders for Data-Efficient Imitation Learning in Modern Video Games—0
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