Video-Based Reward Modeling for Computer-Use Agents
Video-Based Reward Modeling for Computer-Use Agents explores A scalable video-based reward modeling system for evaluating computer-using agents' task success.. Commercial viability score: 8/10 in Reward Modeling.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisEVA: Aligning Video World Models with Executable Robot Actions via Inverse Dynamics RewardsViability: 7.0
- Builds On ThisWan-R1: Verifiable-Reinforcement Learning for Video ReasoningViability: 7.0
- Builds On ThisMVR: Multi-view Video Reward Shaping for Reinforcement LearningViability: 3.0
- Builds On ThisTOPReward: Token Probabilities as Hidden Zero-Shot Rewards for RoboticsViability: 7.0
- Builds On ThisCUA-Suite: Massive Human-annotated Video Demonstrations for Computer-Use Agents