Chen Tessler.
Research Scientist at NVIDIA Research
ctessler@nvidia.com | Google Scholar | LinkedIn | GitHub | Twitter
Previously:
PhD (Direct track) @ Technion Institute of Technology
Research Intern @ BoschAI
Research Intern @ NVIDIA Research
Research Intern @ Google Research
I am a researcher at the NVIDIA Israel Research lab, where we focus on the intersection of perception, action, and reasoning.
My current focus is learning to control physically simulated humanoids.
I’m interested in developing methods for generating human-like behaviors from simple user intents.
My current focus is learning to control physically simulated humanoids.
I’m interested in developing methods for generating human-like behaviors from simple user intents.
Publications
MaskedMimic: Unified Physics-Based Character Control Through Masked Motion Inpainting
ACM TOG (Proc. SIGGRAPH Asia 2024)
Chen Tessler, Yunrong Guo, Ofir Nabati, Gal Chechik, Xue Bin Peng
ACM TOG (Proc. SIGGRAPH Asia 2024)
Chen Tessler, Yunrong Guo, Ofir Nabati, Gal Chechik, Xue Bin Peng
Learning to Move Like Professional Counter-Strike Players
SCA 2024
David Durst, Feng Xie, Vishnu Sarukkai, Brennan Shacklett, Iuri Frosio, Chen Tessler, Joohwan Kim, Carly Taylor, Gilbert Bernstein, Sanjiban Choudhury, Pat Hanrahan, Kayvon Fatahalian
SCA 2024
David Durst, Feng Xie, Vishnu Sarukkai, Brennan Shacklett, Iuri Frosio, Chen Tessler, Joohwan Kim, Carly Taylor, Gilbert Bernstein, Sanjiban Choudhury, Pat Hanrahan, Kayvon Fatahalian
CALM: Conditional Adversarial Latent Models for Directable Virtual Characters
SIGGRAPH 2023
Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, Xue Bin Peng
SIGGRAPH 2023
Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, Xue Bin Peng
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs
CCGrid 2023
Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal
CCGrid 2023
Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal
Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning
AAMAS 2023
Pranav Khanna, Guy Tennenholtz, Nadav Merlis, Shie Mannor, Chen Tessler
AAMAS 2023
Pranav Khanna, Guy Tennenholtz, Nadav Merlis, Shie Mannor, Chen Tessler
Towards Autonomous Grading In The Real World
IROS 2022
Yakov Miron, Chana Ross, Yuval Goldfracht, Chen Tessler, Dotan Di Castro
IROS 2022
Yakov Miron, Chana Ross, Yuval Goldfracht, Chen Tessler, Dotan Di Castro
Reinforcement Learning for Datacenter Congestion Control
IAAI 2022
Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor
IAAI 2022
Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor
Inverse reinforcement learning in contextual MDPs
Springer ML 2021
Stav Belo*, Philip Korsunsky*, Shie Mannor*, Chen Tessler*, Tom Zahavy*
Springer ML 2021
Stav Belo*, Philip Korsunsky*, Shie Mannor*, Chen Tessler*, Tom Zahavy*
Distributional policy optimization: An alternative approach for continuous control
NeurIPS 2019
Chen Tessler*, Guy Tennenholtz*, Shie Mannor
NeurIPS 2019
Chen Tessler*, Guy Tennenholtz*, Shie Mannor
Action Robust Reinforcement Learning and Applications in Continuous Control
ICML 2019
Chen Tessler*, Yonathan Efroni*, Shie Mannor
ICML 2019
Chen Tessler*, Yonathan Efroni*, Shie Mannor
A Deep Hierarchical Approach to Lifelong Learning in Minecraft
AAAI 2017
Chen Tessler*, Shahar Givony*, Tom Zahavy*, Daniel Mankowitz*, Shie Mannor
AAAI 2017
Chen Tessler*, Shahar Givony*, Tom Zahavy*, Daniel Mankowitz*, Shie Mannor
