reward maximization

A Model of Place Field Reorganization During Reward Maximization ICML 2025 Probabilistic Satisfaction of Temporal Logic Constraints in Reinforcement Learning via Adaptive Policy-Switching L4DC 2025 Towards Robust, Efficient, and Practical Decision-Making: From Reward-Maximizing Deep Reinforcement Learning to Reward-Matching GFlowNets AAAI 2025 Vintix: Action Model via In-Context Reinforcement Learning ICML 2025 A Survey of Constraint Formulations in Safe Reinforcement Learning IJCAI 2024 Materials Discovery using Max K-Armed Bandit JMLR 2024 P2BPO: Permeable Penalty Barrier-Based Policy Optimization for Safe RL AAAI 2024 Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection AAAI 2023 KuaiSim: A Comprehensive Simulator for Recommender Systems NeurIPS 2023 Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization NeurIPS 2023 Constrained Update Projection Approach to Safe Policy Optimization NeurIPS 2022 Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms ICML 2022 Imitating Past Successes can be Very Suboptimal NeurIPS 2022 On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting NeurIPS 2022 Guiding Deep Molecular Optimization with Genetic Exploration NeurIPS 2020 IPO: Interior-Point Policy Optimization under Constraints AAAI 2020 Keep CALM and Explore: Language Models for Action Generation in Text-based Games EMNLP 2020 On the interaction between supervision and self-play in emergent communication ICLR 2020 Reinforcing an Image Caption Generator Using Off-Line Human Feedback AAAI 2020 Correlated Learning for Aggregation Systems UAI 2019 Situated Mapping of Sequential Instructions to Actions with Single-step Reward Observation ACL 2018 A Probabilistic Model of Social Decision Making based on Reward Maximization NeurIPS 2016 Best-of-K-bandits COLT 2016 A Reinforcement Learning Theory for Homeostatic Regulation NeurIPS 2011 Online Learning with Sample Path Constraints JMLR 2009