Will Chen @ CoRL 2026 🤠

@verityw_

I study Robots that Reason!
PhD Student @ UC Berkeley RAIL Lab (adv. @svlevine) - MIT SB '22, MEng '23 - 🤖 - 🏹 - 🐕

Joined November 2021

166 Following 405 Followers 74 Posts

Latest posts 5

Will Chen @ CoRL 2026 🤠 @verityw_ 3d

@tangerinecoder and I will be presenting Flow Reversal Steering at CoRL on Tue, 5–6:30p @ JW Marriott! We'll be at poster 39 at Lone Star (3rd floor). Come by if you're interested in chatting about robot reasoning and how it can guide efficient RL!
flow-reversal-steering.github.io

Will Chen @ CoRL 2026 🤠 @verityw_ Jul 16

Honored to be giving an invited talk at the RL4VLAs workshop at #RSS2026! I'll be discussing how semantic steering enables learning & improving at new tasks for VLAs.
5-5:30p at CB11.00.405, then panel from 5:30-6p. Pull up with some spicy questions!
sites.google.com/view/rl4vla-wo…

sites.google.com RL4VLA Workshop About

Will Chen @ CoRL 2026 🤠 @verityw_ Jul 13

Excited to be at #RSS2026! I'll be presenting on Steerable Policies today at Imit. Learning 1, and giving an invited talk about improving generalist policies with semantic reasoning at the RL4VLAs workshop on Friday. Come say hi if you're interested in embodied robot reasoning!

Will Chen @ CoRL 2026 🤠 @verityw_ Jul 3

Generalist robot policies learn diverse skills and behaviors, as steered by language. This enables learning from *semantic* experience, rather than actions. By running RL over prompts, robots can solve new tasks by learning what skills to execute and when! semantic-action-rl.github.io

semantic-action-rl.github.io Adapting Generalist Robot Policies with Semantic Reinforcement Learning We run RL over a VLA's language prompts, enabling efficient real-robot adaptation on complex & long-horizon tasks, where existing methods for improving robot behavior in deployment struggle.

Jagdeep Bhatia @ CORL 26 Verified account @JagdeepBhatia8 Jul 3

How can generalist policies adapt to new challenges at deployment using skills they already have?

We optimize VLA *prompt inputs* with reinforcement learning, enabling efficient real-robot adaptation on complex tasks where existing methods struggle. 🧵

semantic-action-rl.github.io

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Will Chen @ CoRL 2026 🤠 @verityw_ Jun 12

Generalist robot policies learn many useful skills. How can we elicit relevant behaviors when faced with new tasks? We introduce Flow Reversal Steering (FRS): a way to refine coarse actions produced by semantic reasoning into similar precise ones!
flow-reversal-steering.github.io
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