Tag: adversarial reinforcement learning
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V-tableR1: Advanced Multimodal Table Reasoning AI
Discover V-tableR1, a novel AI framework enhancing multimodal table reasoning with critic-guided policy optimization for superior visual and logical infere...
Self-Guided Plan Extraction with Goal-Conditional RL
Discover SuperIgor, a framework using self-guided plan extraction and goal-conditional reinforcement learning for adaptive instruction-following AI.
Lyapunov-Certified Switching Theory for Q-Learning AI
Explore Lyapunov-certified switching theory to enhance Q-learning performance and reliability in reinforcement learning applications.
EVPO: Adaptive Policy Optimization for LLM Post-Training
Discover EVPO, an adaptive policy optimization method that improves LLM post-training by balancing critic use to reduce variance and boost performance.
HP-Edit: Human-Preference AI Framework for Image Editing
Discover HP-Edit, a human-preference AI framework enhancing image editing with scalable datasets and improved model alignment to user expectations.