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Baby steps towards physically based animation with reinforcement learning...

32,132 Aufrufe • vor 1 Jahr •via X (Twitter)

10 Kommentare

Profilbild von Kiaran Ritchie
Kiaran Ritchievor 1 Jahr

I've gone down this path before. Ended up writing reward functions to reward foot height over time within a periodic gait cycle. Use this just to get them stepping, then use a curriculum to turn this reward off and let the policy find a more natural gait pattern by penalizing energy. Had to penalize foot sliding too because they get lazy haha

Profilbild von Dennis Gustafsson
Dennis Gustafssonvor 1 Jahr

Interesting, what happened if you didn't do all that? Just weird motion, or didn't learn at all?

Profilbild von Kids Fundamentals
Kids Fundamentalsvor 1 Jahr

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Profilbild von Nikita Lisitsa
Nikita Lisitsavor 1 Jahr

Super fun! I tried this in 2D once, though I used evolutionary methods - never managed to get RL working :/

Profilbild von Dennis Gustafsson
Dennis Gustafssonvor 1 Jahr

Very cool! Can you explain a bit what you mean by evolutionary model? Randomizing weights in batches and move towards the winner? I'm using standard RL techniques (this one uses PPO)

Profilbild von Simon's Limit Exceeded 🕳️
Simon's Limit Exceeded 🕳️vor 1 Jahr

I failed trying to make objects walk mechanically. Can you hear them screaming "kill me"?

Profilbild von bot_0
bot_0vor 1 Jahr

Duuude! Finally someone doing (showing) game stuff related to AI models (that aren't just text/llm based). Massive potential here imo. The physics modelling could be huge too, but I guess the Teardown engine's physics is so optimised anyway it may not be needed! Exciting times!

Profilbild von Fb01
Fb01vor 1 Jahr

Karl sims lives( I know he’s thankfully very much alive ;)

Profilbild von Stocko 👊🤖
Stocko 👊🤖vor 1 Jahr

nice!

Profilbild von Topotoy Labs
Topotoy Labsvor 1 Jahr

Delightfully creepy!

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