conftrace_

multi-objective reinforcement learning

31 papers

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Also known as

MORL

Co-occurring keywords

multi-objective optimization (364) preference learning (418) reinforcement learning (4352) reward function (291) policy learning (702) pareto optimization (78) policy gradient (520) pareto front (63) policy adaptation (26) autonomous agent (168)

Papers

MRACL: Multi-Reward Space Guided Adaptive Curriculum Reinforcement Learning for LLMs AAAI 2026
Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning AAAI 2026
Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation AAAI 2026
STRIDE-ED: A Strategy-Grounded Stepwise Reasoning Framework for Empathetic Dialogue Systems ACL 2026
TORA: Train Once, Realign Anytime for Offline Multi-Objective Reinforcement Learning AAAI 2026
Combining MORL with Restraining Bolts to Learn Normative Behaviour IJCAI 2025
Pareto Set Learning for Multi-Objective Reinforcement Learning AAAI 2025
Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation ACL 2025
An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning NIPS 2024
Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences CVPR 2024
Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards NIPS 2024
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization EMNLP 2024
PA2D-MORL: Pareto Ascent Directional Decomposition Based Multi-Objective Reinforcement Learning AAAI 2024
Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation EMNLP 2024
Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal IJCAI 2024
An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning NIPS 2024
Distributional Pareto-Optimal Multi-Objective Reinforcement Learning NIPS 2023
On the limitations of Markovian rewards to express multi-objective, risk-sensitive, and modal tasks UAI 2023
A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning NIPS 2023
Lexicographic Multi-Objective Reinforcement Learning IJCAI 2022
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning NIPS 2022
Robust Multi-Objective Reinforcement Learning with Dynamic Preferences ACML 2022
Reinforcement Learning Under Moral Uncertainty ICML 2021
Provably Efficient Algorithms for Multi-Objective Competitive RL ICML 2021
Multi-Objective Reinforcement Learning for Designing Ethical Environments IJCAI 2021