图 书 馆
娱乐与创造力的形式理论Formal Theory of Fun & Creativity |
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| 课程网址: | http://videolectures.net/ecmlpkdd2010_schmidhuber_ftf/ |
| 主讲教师: | Jurgen Schmidhuber |
| 开课单位: | 人工智能研究所 |
| 开课时间: | 2013-12-13 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | To build a creative agent that never stops generating non-trivial & novel & surprising data, we need two learning modules: (1) an adaptive predictor or compressor or model of the growing data history as the agent is interacting with its environment, and (2) a general reinforcement learner. The LEARNING PROGRESS of (1) is the FUN or intrinsic reward of (2). That is, (2) is motivated to invent interesting things that (1) does not yet know but can easily learn. To maximize expected reward, in the absence of external reward (2) will create more and more complex behaviors that yield temporarily surprising (but eventually boring) patterns that make (1) quickly improve. We discuss how this principle explains science & art & music & humor, and how to scale up previous toy implementations of the theory since 1991, using recent powerful methods for (1) prediction and (2) reinforcement learning. |
| 关 键 词: | 学习模块; 复杂行为 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2020-11-03：zyk |
| 最后编审: | 2020-12-20：yumf |
| 阅读次数: | 52 |