AI Coding
Pelican learns to ride a bike with RL — GPT-6 Astra vs Kimi K3.1 Pro
Scoreboard2
- GPT-6 AstraOpenAIAuthor’s pick
- 98/100 success; small policy plus direct parameter search
- Kimi K3.1 ProMoonshot AI
- 29/100 success; linear PPO with curriculum learning
Pelican learns to ride a bike with RLThe post doesn’t quote the prompt wording.
By the poster’s own eval, GPT-6 Astra scored 98/100 and Kimi K3.1 Pro 29/100.
@YifeiZhou’s view (paraphrased)
GPT-6 Astra and Kimi K3.1 Pro build a pelican and bike in a Rapier physics sim, then train a policy to ride 20 m from a standstill, scored on 100 held-out seeds.
The post, itemised
- Kind
- Side-by-side
- Task
- Pelican learns to ride a bike with RL
- Category
- Simulations, 3D & Shaders
- Mode
- Not stated
- Posted
- Video length
- 35.5 s
- Likes
- 1
- Views
- 63
- Bookmarks
- 0
- Sponsored
- No
NotesThe constraints ban training wheels, invisible props and editing world coordinates.
Cost & time, as stated in the postAs stated: both used about 960k training steps; success 98/100 (Astra) vs 29/100 (Kimi).
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