multi-objective reinforcement learning

MRACL: Multi-Reward Space Guided Adaptive Curriculum Reinforcement Learning for LLMs AAAI 2026 Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation AAAI 2026 Stochastic Dominance Driven First-Order Policy Optimization for Multi-Objective Reinforcement Learning UAI 2026 STRIDE-ED: A Strategy-Grounded Stepwise Reasoning Framework for Empathetic Dialogue Systems ACL 2026 Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning AAAI 2026 TORA: Train Once, Realign Anytime for Offline Multi-Objective Reinforcement Learning AAAI 2026 Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation ACL 2025 Combining MORL with Restraining Bolts to Learn Normative Behaviour IJCAI 2025 Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning ICLR 2025 Efficient Discovery of Pareto Front for Multi-Objective Reinforcement Learning ICLR 2025 Multi-objective Linear Reinforcement Learning with Lexicographic Rewards ICML 2025 On Generalization Across Environments In Multi-Objective Reinforcement Learning ICLR 2025 Pareto Set Learning for Multi-Objective Reinforcement Learning AAAI 2025 Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning ICLR 2025 An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning NeurIPS 2024 An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning NeurIPS 2024 Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal IJCAI 2024 Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation EMNLP 2024 Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards NeurIPS 2024 MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization EMNLP 2024 On the Expressivity of Objective-Specification Formalisms in Reinforcement Learning ICLR 2024 PA2D-MORL: Pareto Ascent Directional Decomposition Based Multi-Objective Reinforcement Learning AAAI 2024 Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning ICLR 2024 Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences CVPR 2024 The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithm ICML 2024