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We’re teaching a new course at Penn: CIS 6280 · World Models 🌍
cis.upenn.edu/~cis6280/
Every day, LLMs amaze me with one more thing they can solve. But I’ve always felt there’s more to learn than what humans have written down—from observing the world, interacting with it, and experiencing what happens next. To me, that’s what world models are about—and why I see them as one of AI’s next big bets.
However, I struggled to find a systematic course on them—so we are building one!
Topics will include: representation learning, generative models, simulation, model-based RL, video and 3D generation, world models for robotics, reasoning, and code-based world models.
Hands-on work will include:
- Building an environment
- Training a world model
- Learning a policy
and a final research project with leaderboard.
We’re already six lectures in. Slides, demos, and readings are public, and we’ll keep adding materials throughout the fall.
Big thanks to our TA team— @TongMutianTMT @hagsaeng_bag @EnxinSong @KeelyAi04 —for helping bring this course to life!
cis.upenn.edu/~cis6280/
Every day, LLMs amaze me with one more thing they can solve. But I’ve always felt there’s more to learn than what humans have written down—from observing the world, interacting with it, and experiencing what happens next. To me, that’s what world models are about—and why I see them as one of AI’s next big bets.
However, I struggled to find a systematic course on them—so we are building one!
Topics will include: representation learning, generative models, simulation, model-based RL, video and 3D generation, world models for robotics, reasoning, and code-based world models.
Hands-on work will include:
- Building an environment
- Training a world model
- Learning a policy
and a final research project with leaderboard.
We’re already six lectures in. Slides, demos, and readings are public, and we’ll keep adding materials throughout the fall.
Big thanks to our TA team— @TongMutianTMT @hagsaeng_bag @EnxinSong @KeelyAi04 —for helping bring this course to life!
