Tag: Agent Performance
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Structural Integration Boosts Self-Monitoring in RL Agents
Explore how structural integration improves self-monitoring in continuous-time multi-timescale agents, enhancing reinforcement learning performance.
VenusBench-Mobile: User-Centric Benchmark for Mobile GUI Agents
Discover VenusBench-Mobile, a benchmark for evaluating mobile GUI agents with real-world tasks and detailed capability diagnostics.
ACE-Bench: Scalable Agent Evaluation with Controlled Difficulty
Discover ACE-Bench, a lightweight framework for scalable agent evaluation with controllable difficulty and reduced overhead for reliable AI benchmarking.
Soft Tournament Equilibrium: Robust Agent Evaluation
Discover Soft Tournament Equilibrium, a novel method for evaluating AI agents with stable, set-valued rankings in cyclic competitive environments.
Signal-Based Trajectory Sampling for Efficient Agent Interaction
Optimize agentic interactions with signal-based trajectory sampling and triage for improved efficiency and post-deployment performance.