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cs.LG2025
Goal-Guided Efficient Exploration via Large Language Model in Reinforcement Learning
Yajie Qi, Wei Wei, Lin Li +4
Real-world decision-making tasks typically occur in complex and open environments, posing significant challenges to reinforcement learning (RL) agents' exploration efficiency and l…
cs.LG2025
Risk-aware Direct Preference Optimization under Nested Risk Measure
Lijun Zhang, Lin Li, Yajie Qi +4
When fine-tuning pre-trained Large Language Models (LLMs) to align with human values and intentions, maximizing the estimated reward can lead to superior performance, but it also i…