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renhao norman zhang homepage homepage about me news selected publications honors and awards educations internships services cv blog renhao norman zhang phd in umass amherst personal description amherst ma usa email x formerly twitter linkedin github google scholar hi i m norman renhao zhang 张仁浩 currently a computer science phd candidate in the autonomous learning laboratory at the university of massachusetts amherst advised by professor bruno castro da silva i was fortunate to work with the amazon supply chain optimization team where i applied rl to inventory control problems and with the aws quick team where i worked on agentic planning methods for temporal reasoning i got my master s degree in electrical and computer engineering at brown university working on hierarchical rl with prof george konidaris and computer graphics with prof daniel ritchie before that i got my bachelor s degree in electrical information engineering at dalian university of technology advised by prof xuanheng li on applications of rl in wireless communication and prof shenglan liu on computer vision my research lies in reinforcement learning bridging theory and practice on the theoretical side i study sample efficient learning and continual reinforcement learning on the practical side i apply these ideas to robotics llms and ai safety more details can be found in my research statement news 2026 06 our sure paper was accepted to the icml 2026 demo workshop as a spotlight 2026 05 internship as an applied scientist intern at the amazon aws quick team i ll be in bay area from may to august 2026 2026 05 i m now a phd candidate 2026 04 our pdp paper was accepted to the icml 2026 unfortunately i won t be able to be in seoul to attend the conference in person 2026 02 our ppromptminerp paper was accepted to the cvpr 2026 i ll be in denver for it 2025 10 my internship paper was published at the amazon machine learning conference amlc 2025 a premier internal conference for a highlight talk 2025 09 i ll be a ta for compsci 389 in the fall 2025 semester 2025 07 our rllf paper was accepted to the rlbrew finding the frame workshops at rlc 2025 archived news 2025 05 internship as an applied scientist intern at the amazon scot team i ll be in bellevue from may to august 2025 2024 09 learning to edit visual programs with self supervision was accepted to neurips 2024 i ll be in vancouver this november 2024 09 started my new role as a phd student at umass amherst 2024 08 attending rlc 2024 at umass amherst 2024 05 dlpa was accepted at icml 2024 i ll be in vienna this july 2024 04 graduated at brown as an ece master selected publications uncertainty guided reward labeling for reinforcement learning under limited feedback renhao zhang shreyas chaudhari bruno castro da silva paper code coming soon icml 2026 demo workshop spotlights from noise to control parameterized diffusion policies renhao zhang haotian fu mingxi jia george konidaris yilun du bruno castro da silva paper code project icml 2026 promptminer black box prompt stealing against text to image generative models via reinforcement learning and fuzz optimization mingzhe li renhao zhang zheng wen sheng pan bruno castro da silva juan zhai shiqing ma paper code cvpr 2026 which rewards matter reward selection for reinforcement learning under limited feedback shreyas chaudhari renhao zhang philip s thomas bruno castro da silva paper code rlc 2025 rlbrew workshop learning to edit visual programs with self supervision r kenny jones renhao zhang aditya ganeshan daniel ritchie paper code project neurips 2024 model based reinforcement learning for parameterized action spaces renhao zhang haotian fu yilin miao george konidaris paper code icml 2024 when dsa meets swipt a joint power allocation and time splitting scheme based on multi agent deep reinforcement learning renhao zhang xuanheng li nan zhao paper ieee transactions on vehicular technology 2023 honors and awards 2025 01 paul utgoff memorial scholarship umass amherst 2022 06 outstanding graduates dalian university of technology 2020 05 second prize china computer design competition 2019 09 scholarship for academic excellence educations university of massachusetts amherst ph d in computer science 2024 09 2029 05 expected advisor bruno castro da silva harvard university visiting student in computer science 2023 09 2023 12 brown university m s in electrical computer engineering 2022 08 2024 05 advisors george konidaris daniel ritchie dalian university of technology b s in electrical information engineering 2018 09 2022 06 advisors xuanheng li shenglan liu internships amazon aws quick team santa clara ca applied scientist intern 2026 05 2026 08 host arshit gupta han he sailik sengupta james gung project agentic planning with temporal reasoning amazon scot team bellevue wa applied scientist intern 2025 05 2025 08 host mitchell joblin alvaro maggiar project learning optimal inventory policies under product substitution using hierarchical reinforcement learning panasonic software development dalian china algorithm engineer intern 2021 06 2021 07 project face recognition based time and attendance system services technical reviewer neurips 2026 2025 2024 icml 2025 aistats 2025 rlc 2025 teaching assistant compsci 389 introduction to machine learning spring 2026 fall 2025 umass amherst engn 2912b scientific programming in c fall 2024 brown university csci 1951r introduction to robotics fall 2024 brown university object detection fall 2023 dalian university of technology