Tag: adversarial reinforcement learning
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STEP-HRL: Efficient Hierarchical RL for LLM Agents
Discover STEP-HRL, a hierarchical reinforcement learning framework that boosts LLM agents' efficiency with step-level transitions and reduced token use.
Social Transmission of Model-Based Learning Without Inference
Discover how social learning transmits complex knowledge via simple cues without inference, enhancing learning through model-based representations.
CuraLight: AI-Driven Traffic Signal Control with LLMs
Discover CuraLight, an AI framework using reinforcement learning and LLMs to optimize traffic signals, reducing congestion and travel time effectively.
COSMO-Agent: AI Tool for CAD-CAE Optimization & Simulation
COSMO-Agent uses AI and reinforcement learning to bridge CAD-CAE gaps, optimizing design and simulation for faster, efficient industrial workflows.
ActivityEditor: Synthesizing Realistic Human Mobility Data
Discover ActivityEditor, a dual-agent framework that generates physically valid human mobility trajectories for urban planning without historical data.