Tag: adversarial reinforcement learning
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OracleTSC: Advanced AI Traffic Signal Control for Cities
Discover OracleTSC, an AI-driven traffic signal control system that cuts travel time by 75% and improves traffic flow with interpretable decisions.
Boost RL in Language Models with Self-Generated Data
Enhance reinforcement learning in language models by mid-training with diverse self-generated data for improved reasoning and problem-solving abilities.
Capability Elicitation vs Creation in Post-Training AI Models
Explore how post-training methods distinguish capability elicitation from creation in AI models using a free-energy perspective for enhanced performance.
Auto-Rubric Reward: Enhancing Multimodal Generative Models
Discover how Auto-Rubric as Reward improves multimodal AI alignment by converting implicit preferences into explicit, reliable evaluation criteria.
BalCapRL: Balanced RL Framework for MLLM Image Captioning
Discover BalCapRL, a balanced RL-based framework enhancing MLLM image captioning with improved accuracy, fluency, and utility across models.