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Seohong Park

@seohong_park

Reinforcement Learning | CS Ph.D. Student @berkeley_ai | Physical Intelligence

5 781Followers
585Following
527Posts total
154.9KViews on collected posts

Postingan terbaru

@seohong_park Very insightful post! Five years ago, we noticed exactly the same phenomenon mentioned in this blog in autonomous driving -- the imitation agent tends to copy the previous actions. We called it "copycat problem". 1.7K views · 6 likes · 0 reposts · 3 replies Open on X →
@seohong_park Definitely vibe with a compounding errors perspective. Part of my work with @max_simchowitz (https://t.co/VPFrtszFIi) precisely shows that reducing frequency of feedback (eg action chunking) is key to stable deployment. This can be true even if your demos are Markov 966 views · 7 likes · 0 reposts · 1 replies Open on X →
@seohong_park Good paper on why action chunking works: https://t.co/B7dQIyoBGd It seems to me it's because human generated trajectories are non-Markovian. Maybe because humans plan and execute at different frequencies. But curious if the same phenomenon occurs on synthetic data. 1.3K views · 10 likes · 0 reposts · 0 replies Open on X →
Behavioral cloning mystery https://t.co/VqxzvcfGSx I wrote a new blog post about "mysteries" in behavioral cloning that appear with real-world robot data (e.g., overfitting is "good"). I also tried to demystify them and shared my thoughts! https://t.co/BF1ZeYPpLH 151K views · 1K likes · 129 reposts · 36 replies Open on X →

Dibandingkan akun berukuran sama

4 postingan dari 90 hari terakhir, dibandingkan dengan rentang under 10K pengikut. di bawah akun sekelasnya baik pada jangkauan maupun interaksi.

Median tayangan1 510akun ini4 175median untuk under 10K
Jangkauan, %26.11%akun ini250.82%median untuk under 10K
Interaksi, %0.77%akun ini1.41%median untuk under 10K
MetrikAkun iniMedian untuk under 10KRasio
Median tayangan per postingan1 5104 1750.36×
Jangkauan (tayangan ÷ pengikut)26.11%2.5× audience0.10×
Tingkat interaksi0.77%1.41%0.54×

Akun lain pada rentang ini →   Bandingkan dengan akun lain →   Bagaimana tolok ukur ini disusun →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

151K24 Aug
1.3K
966
1.7K26 Aug

Last 4 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.79%24 Aug
0.75%
0.83%
0.54%26 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for under 10K accounts is 1.41%.

What the audience does

Likes48.4%1 027 in total
Reposts6.1%129 in total
Replies1.9%40 in total
Quotes1.0%22 in total
Bookmarks42.6%905 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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