Unverified50% confidenceFactExact time
The Atari benchmark includes dozens of pixel-level games, with high-dimensional image states that require convolutional networks to process, and is the standard test set for evaluating the generalization ability of deep RL algorithms.
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
Training a PPO Agent to Play Temple Run on a Phone: Real-Device Record Hits 16,782 Meters
redditr/reinforcementlearning10/15/2026
Related Entities
Related Claims
UnverifiedThe underlying technology stack for multi-terminal automation in this AI testing solution is: ADB for Android, Playwright for Web, PyAutoGUI for PC, and a visual large model for visual recognition72% similarUnverified主流的 RL 库和基准测试(如 Atari、MuJoCo)几乎都围绕游戏和机器人构建68% similarUnverifiedResearch firm MEM0 tested eight mainstream AI agent platforms, covering products including CloudCode and Devin.66% similarUnverifiedDQN引入了经验回放和目标网络两项关键创新,并在Atari 57款游戏中超越人类基准水平65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1034821API
curl https://kongchang.com/api/v1/knowledge/claims/1034821MCP
get_claim(id=1034821)