机器人迁移的相关内容

文章 2024-08-21 来自：开发者社区

OpenTeleVision复现及机器人迁移

相关信息标题 Open-TeleVision: Teleoperation withImmersive Active Visual Feedback 作者 Xuxin Cheng1 Jialong Li1 Shiqi Yang1 Ge Yang2 Xiaolong Wang1UC San Diego1 MIT2 主页 https://robot-tv.github.io/ 链接 h...

问答 2023-10-03 来自：开发者社区

近年来，强化学习（Reinforcement learning）在人工智能领域中表现出了显著的性能，例如基于原始像素的 Atari 游戏，连续复杂控制策略的学习，以及在围棋游戏 Go 中超越人类的表现等。然而，这些成功大多是在仿真、视频游戏等非物理环境中实现的，强化学习在物理系统上的复杂策略仍存在很大的挑战。强化学习需要与现实环境进行大量的交互，但是机器人强化学习从现实环境中获取样本的代价极高，....

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更新时间 2024-08-22 09:16:49

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