C.K. Wolfe
Founder of Tensr, Fully autonomous robotic factories
Company
C.K. Wolfe is listed as a founder of Tensr. Robotic factories that build robotics in the US. We’re a group of Berkeley graduate robotics researchers who previously won a full scale autonomous IndyCar competition at 160mph.
Founder traction evidence
Public posts and activity attributed directly to this founder.
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Released on @berkeley_ai blog - recent work by Henry Pinkard et al.: information-driven design of imaging systems.
Released on @berkeley_ai blog - recent work by Henry Pinkard et al.: information-driven design of imaging systems. Direct mutual information optimization, no decoder needed. Matches end-to-end methods with less memory and no task-specific retraining. Works across cameras,
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Released on @berkeley_ai blog, recent work by @michaelpsenka M.
Released on @berkeley_ai blog, recent work by @michaelpsenka M. Rabbat @ask1729 @ylecun @_amirbar — long horizons in visual world models punish naive gradients, GRASP reshapes them (lifted virtual states, noised state iterates, action-friendly descent) so planning stays stable...
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New on @berkeley_ai blog by @seohong_park: divide-and-conquer value learning for off-policy RL.
New on @berkeley_ai blog by @seohong_park: divide-and-conquer value learning for off-policy RL. No TD bootstrapping. Scales to long horizons. https://t.co/VLspSfmRmW 🐻📄
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Released on @berkeley_ai blog, new work from Jakob Bjorner, @a_lidayan, @satvikgolechha, @kartik_goyal_ & @alsuhr.
Released on @berkeley_ai blog, new work from Jakob Bjorner, @a_lidayan, @satvikgolechha, @kartik_goyal_ & @alsuhr. As task horizons grow, LLM contexts can’t scale forever — ABBEL trains agents to maintain graded natural-language belief states instead of drowning in history …
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Genuinely impressive results, fairly traumatizing introduction.
Genuinely impressive results, fairly traumatizing introduction.