Chen Tessler

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 29

Top Topics

Gradient Boosting

Physical Environment

Reinforcement Learning

Top Venues

Publications

Benjamin Fuhrer, Chen Tessler, Gal Dalal
Gradient Boosting Reinforcement Learning. CoRR (2024)
Assaf Hallak, Gal Dalal, Chen Tessler, Kelly Guo, Shie Mannor, Gal Chechik
PlaMo: Plan and Move in Rich 3D Physical Environments. CoRR (2024)
Zhengyi Luo, Jiashun Wang, Kangni Liu, Haotian Zhang, Chen Tessler, Jingbo Wang, Ye Yuan, Jinkun Cao, Zihui Lin, Fengyi Wang, Jessica K. Hodgins, Kris Kitani
SMPLOlympics: Sports Environments for Physically Simulated Humanoids. CoRR (2024)
Pranav Khanna, Guy Tennenholtz, Nadav Merlis, Shie Mannor, Chen Tessler
Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning. AAMAS (2023)
Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs. CCGrid (2023)
Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, Xue Bin Peng
CALM: Conditional Adversarial Latent Models for Directable Virtual Characters. CoRR (2023)
Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, Xue Bin Peng
CALM: Conditional Adversarial Latent Models for Directable Virtual Characters. SIGGRAPH (Conference Paper Track) (2023)
Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor
Reinforcement Learning for Datacenter Congestion Control. SIGMETRICS Perform. Evaluation Rev. 49 (2) (2022)
Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor
Reinforcement Learning for Datacenter Congestion Control. AAAI (2022)
Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs. CoRR (2022)
Yakov Miron, Chana Ross, Yuval Goldfracht, Chen Tessler, Dotan Di Castro
Towards Autonomous Grading In The Real World. CoRR (2022)
Yakov Miron, Chana Ross, Yuval Goldfracht, Chen Tessler, Dotan Di Castro
Towards Autonomous Grading In The Real World. IROS (2022)
Oren Peer, Chen Tessler, Nadav Merlis, Ron Meir
Ensemble Bootstrapping for Q-Learning. ICML (2021)
Oren Peer, Chen Tessler, Nadav Merlis, Ron Meir
Ensemble Bootstrapping for Q-Learning. CoRR (2021)
Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor
Reinforcement Learning for Datacenter Congestion Control. CoRR (2021)
Stav Belogolovsky, Philip Korsunsky, Shie Mannor, Chen Tessler, Tom Zahavy
Inverse reinforcement learning in contextual MDPs. Mach. Learn. 110 (9) (2021)
Chen Tessler, Shie Mannor
Maximizing the Total Reward via Reward Tweaking. CoRR (2020)
Philip Korsunsky, Stav Belogolovsky, Tom Zahavy, Chen Tessler, Shie Mannor
Inverse Reinforcement Learning in Contextual MDPs. CoRR (2019)
Chen Tessler, Guy Tennenholtz, Shie Mannor
Distributional Policy Optimization: An Alternative Approach for Continuous Control. CoRR (2019)
Chen Tessler, Guy Tennenholtz, Shie Mannor
Distributional Policy Optimization: An Alternative Approach for Continuous Control. NeurIPS (2019)
Chen Tessler, Daniel J. Mankowitz, Shie Mannor
Reward Constrained Policy Optimization. ICLR (Poster) (2019)
Erez Schwartz, Guy Tennenholtz, Chen Tessler, Shie Mannor
Natural Language State Representation for Reinforcement Learning. CoRR (2019)
Chen Tessler, Tom Zahavy, Deborah Cohen, Daniel J. Mankowitz, Shie Mannor
Action Assembly: Sparse Imitation Learning for Text Based Games with Combinatorial Action Spaces. CoRR (2019)
Chen Tessler, Yonathan Efroni, Shie Mannor
Action Robust Reinforcement Learning and Applications in Continuous Control. CoRR (2019)
Chen Tessler, Nadav Merlis, Shie Mannor
Stabilizing Off-Policy Reinforcement Learning with Conservative Policy Gradients. CoRR (2019)
Chen Tessler, Yonathan Efroni, Shie Mannor
Action Robust Reinforcement Learning and Applications in Continuous Control. ICML (2019)
Chen Tessler, Daniel J. Mankowitz, Shie Mannor
Reward Constrained Policy Optimization. CoRR (2018)
Chen Tessler, Shahar Givony, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor
A Deep Hierarchical Approach to Lifelong Learning in Minecraft. AAAI (2017)
Chen Tessler, Shahar Givony, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor
A Deep Hierarchical Approach to Lifelong Learning in Minecraft. CoRR (2016)