ml-agents

Unity 机器学习代理工具包 (ML-Agents) 是一个开源项目，它使游戏和模拟能够作为训练智能代理的环境。

目录树: 399f99e7

文件历史

GitHub b51347ac New Variable Speed Walker Environments (#4301 ) * init * Add reward manager and hurryUpReward * fix hurry reward/ add awful first training * Turn off head height and hurry rew * changed max speed to 15. added small hh rew * add NaN check for reward manager. start vel penalty * add bpVel pen * add new BPVelPen nn file * remove outdated nn file * add randomize speed bool * try rewad product * change coeff to 1 * try avg vel of all bp for reward * move outside loop * try linear inverselerp for vel * add avg rew matchspeed15 nn file. looks much better * save scene * no hand penalty, random walk speed * fix inverse lerp * try new reward falloff * cleanup * added new nn file. don't allow hand contact * update obsv * remove hh rew. add trained no-hh model * add new nn file * new curve * add new models. try no reset * add hh rew * clamp hh * zero rewards if ground contact * switch to approved with movi...		4 年前
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Platforms	New Variable Speed Walker Environments (#4301)	4 年前
Ragdoll	New Variable Speed Walker Environments (#4301)	4 年前
Platforms.meta	add all scenes	4 年前
Ragdoll.meta	add trained static walker nn file	4 年前