Chapter
Building Handcrafted AI Agents with Reinforcement Learning
04:32 - 13:04 (08:31)
The speaker shares their experience building handcrafted AI agents that could perform certain tasks better and faster than humans, such as in Twitch-like scenarios, using reinforcement learning to learn patterns and make moves to increase their chances of winning. They found it satisfying that the system was able to learn and outwit them based on its own trial-and-error experiences.
Clips
A talk about how the magic of the computer led to limitless possibilities for young programmers to create anything they wanted with the guidance of user guides and advanced user guides.
04:32 - 05:51 (01:18)
Summary
A talk about how the magic of the computer led to limitless possibilities for young programmers to create anything they wanted with the guidance of user guides and advanced user guides.
ChapterBuilding Handcrafted AI Agents with Reinforcement Learning
Episode#86 – David Silver: AlphaGo, AlphaZero, and Deep Reinforcement Learning
PodcastLex Fridman Podcast
The co-hosts discuss their early experiences with programming and gaming, and their early interests in artificial intelligence, including one co-host's father who gave up his career to study AI.
05:51 - 08:09 (02:17)
Summary
The co-hosts discuss their early experiences with programming and gaming, and their early interests in artificial intelligence, including one co-host's father who gave up his career to study AI.
ChapterBuilding Handcrafted AI Agents with Reinforcement Learning
Episode#86 – David Silver: AlphaGo, AlphaZero, and Deep Reinforcement Learning
PodcastLex Fridman Podcast
This episode talks about building handcrafted AI agents for games with reinforcement learning, a system that plays against itself to learn which patterns help predict a win or loss and choose the moves that lead to a greater chance of winning.
08:11 - 13:04 (04:53)
Summary
This episode talks about building handcrafted AI agents for games with reinforcement learning, a system that plays against itself to learn which patterns help predict a win or loss and choose the moves that lead to a greater chance of winning.