conftrace_

sequential decision making

351 papers

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Also known as

SDM

Co-occurring keywords · papers mentioning both

reinforcement learning (72) regret bound (48) multi-armed bandit (45) sequential decision (37) markov decision process (34) online learning (31) partially observable markov decision process (17) policy learning (15) bayesian optimization (14) imitation learning (14)

Papers

To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learning AAAI 2025 Towards Robust, Efficient, and Practical Decision-Making: From Reward-Maximizing Deep Reinforcement Learning to Reward-Matching GFlowNets AAAI 2025 Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context AISTATS 2025 Zero-Shot Action Generalization with Limited Observations AISTATS 2025 Active Retrosynthetic Planning Aware of Route Quality ICLR 2024 Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate ICML 2024 An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning NeurIPS 2024 Approximation Algorithms for Observer Aware MDPs UAI 2024 A Survey on Multi-player Bandits JMLR 2024 AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents NeurIPS 2024 Autoregressive Bandits AISTATS 2024 Code Models are Zero-shot Precondition Reasoners NAACL 2024 Combining Experimental and Historical Data for Policy Evaluation ICML 2024 Efficient Sequential Decision Making with Large Language Models EMNLP 2024 Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception CVPR 2024 Fair Participation via Sequential Policies AAAI 2024 Global Rewards in Restless Multi-Armed Bandits NeurIPS 2024 Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits AAAI 2024 Illusory Attacks: Information-theoretic detectability matters in adversarial attacks ICLR 2024 Improving Health Information Access in the World’s Largest Maternal Mobile Health Program via Bandit Algorithms AAAI 2024 i-Rebalance: Personalized Vehicle Repositioning for Supply Demand Balance AAAI 2024 Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents IJCAI 2024 Layered and Staged Monte Carlo Tree Search for SMT Strategy Synthesis IJCAI 2024 Learning Embeddings for Sequential Tasks Using Population of Agents IJCAI 2024 Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls JMLR 2024