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

Dennis Gustafsson

84,573 subscribers

32,132 次观看 • 1 年前 •via X (Twitter)

游戏科学技术教育

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10 条评论

Kiaran Ritchie 的头像

Kiaran Ritchie1 年前

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

Dennis Gustafsson 的头像

Dennis Gustafsson1 年前

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

Kids Fundamentals 的头像

Kids Fundamentals1 年前

Invest in your child's future success today with our Name Tracing Practice Board. Kid approved!

Nikita Lisitsa 的头像

Nikita Lisitsa1 年前

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

Dennis Gustafsson 的头像

Dennis Gustafsson1 年前

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)

Simon's Limit Exceeded 🕳️ 的头像

Simon's Limit Exceeded 🕳️1 年前

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

bot_0 的头像

bot_01 年前

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!

Fb01 的头像

Fb011 年前

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

Stocko 👊🤖 的头像

Stocko 👊🤖1 年前

nice!

Topotoy Labs 的头像

Topotoy Labs1 年前

Delightfully creepy!

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