AINeutralarXiv – CS AI · 7h ago6/10
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CARE-RL: Capability-Aware Reinforcement Learning for Mitigating Cross-Domain Conflicts
Researchers propose CARE-RL, a reinforcement learning framework that combines protocol-aware reward generation with capability-aware optimization to address challenges in multi-domain RL systems. The approach achieves improved performance across math, chat, and instruction-following tasks on multiple LLM models, demonstrating advances in making RL more effective across diverse domains.