Chen Tessler - RankMe

42 papers A* 7A 2B 1Journal 29Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Kimodo: Scaling Controllable Human Motion Generation. CoRR Davis Rempe, Mathis Petrovich, Ye Yuan, Haotian Zhang, Xue Bin Peng, Yifeng Jiang, Tingwu Wang, Umar Iqbal, David Minor, Michael de Ruyter, Jiefeng Li, Chen Tessler, Edy Lim, Eugene Jeong, Sam Wu, Ehsan Hassani, Michael Huang, Jin-Bey Yu, Chaeyeon Chung, Lina Song, Olivier Dionne, Jan Kautz, Simon Yuen, Sanja Fidler
2025	J	`jnl`	Emergent Active Perception and Dexterity of Simulated Humanoids from Visual Reinforcement Learning. CoRR Zhengyi Luo, Chen Tessler, Toru Lin, Ye Yuan, Tairan He, Wenli Xiao, Yunrong Guo, Gal Chechik, Kris Kitani, Linxi Fan, Yuke Zhu
2025	A*	`conf`	Gradient Boosting Reinforcement Learning. ICML Benjamin Fuhrer, Chen Tessler, Gal Dalal
2025	J	`jnl`	HIL: Hybrid Imitation Learning of Diverse Parkour Skills from Videos. CoRR Jiashun Wang, Yifeng Jiang, Haotian Zhang, Chen Tessler, Davis Rempe, Jessica K. Hodgins, Xue Bin Peng
2025	A*	`conf`	MaskedManipulator: Versatile Whole-Body Control for Loco-Manipulation. SIGGRAPH Asia Chen Tessler, Yifeng Jiang, Erwin Coumans, Zhengyi Luo, Xue Bin Peng, Gal Chechik
2025	J	`jnl`	MaskedManipulator: Versatile Whole-Body Control for Loco-Manipulation. CoRR Chen Tessler, Yifeng Jiang, Erwin Coumans, Zhengyi Luo, Gal Chechik, Xue Bin Peng
2025	J	`jnl`	Task Tokens: A Flexible Approach to Adapting Behavior Foundation Models. CoRR Ron Vainshtein, Zohar Rimon, Shie Mannor, Chen Tessler
2024	J	`jnl`	Gradient Boosting Reinforcement Learning. CoRR Benjamin Fuhrer, Chen Tessler, Gal Dalal
2024	J	`jnl`	Improving Inverse Folding for Peptide Design with Diversity-regularized Direct Preference Optimization. CoRR Ryan Park, Darren J. Hsu, C. Brian Roland, Maria Korshunova, Chen Tessler, Shie Mannor, Olivia Viessmann, Bruno Trentini
2024	J	`jnl`	Learning to Move Like Professional Counter-Strike Players. Comput. Graph. Forum David Durst, Feng Xie, Vishnu Sarukkai, Brennan Shacklett, Iuri Frosio, Chen Tessler, Joohwan Kim, Carly Taylor, Gilbert Louis Bernstein, Sanjiban Choudhury, Pat Hanrahan, Kayvon Fatahalian
2024	J	`jnl`	Learning to Move Like Professional Counter-Strike Players. CoRR David Durst, Feng Xie, Vishnu Sarukkai, Brennan Shacklett, Iuri Frosio, Chen Tessler, Joohwan Kim, Carly Taylor, Gilbert Bernstein, Sanjiban Choudhury, Pat Hanrahan, Kayvon Fatahalian
2024	J	`jnl`	MaskedMimic: Unified Physics-Based Character Control Through Masked Motion Inpainting. CoRR Chen Tessler, Yunrong Guo, Ofir Nabati, Gal Chechik, Xue Bin Peng
2024	J	`jnl`	MaskedMimic: Unified Physics-Based Character Control Through Masked Motion Inpainting. ACM Trans. Graph. Chen Tessler, Yunrong Guo, Ofir Nabati, Gal Chechik, Xue Bin Peng
2024	—	`conf`	PlaMo: Plan and Move in Rich 3D Physical Environments. ECCV Workshops (2) Assaf Hallak, Gal Dalal, Chen Tessler, Kelly Guo, Shie Mannor, Gal Chechik
2024	J	`jnl`	PlaMo: Plan and Move in Rich 3D Physical Environments. CoRR Assaf Hallak, Gal Dalal, Chen Tessler, Kelly Guo, Shie Mannor, Gal Chechik
2024	J	`jnl`	SMPLOlympics: Sports Environments for Physically Simulated Humanoids. CoRR 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
2023	—	`conf`	CALM: Conditional Adversarial Latent Models for Directable Virtual Characters. SIGGRAPH (Conference Paper Track) Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, Xue Bin Peng
2023	J	`jnl`	CALM: Conditional Adversarial Latent Models for Directable Virtual Characters. CoRR Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, Xue Bin Peng
2023	B	`conf`	Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs. CCGrid Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal
2023	A	`conf`	Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning. AAMAS Pranav Khanna, Guy Tennenholtz, Nadav Merlis, Shie Mannor, Chen Tessler
2022	J	`jnl`	Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs. CoRR Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal
2022	A*	`conf`	Reinforcement Learning for Datacenter Congestion Control. AAAI Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor
2022	J	`jnl`	Reinforcement Learning for Datacenter Congestion Control. SIGMETRICS Perform. Evaluation Rev. Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor
2022	A	`conf`	Towards Autonomous Grading In The Real World. IROS Yakov Miron, Chana Ross, Yuval Goldfracht, Chen Tessler, Dotan Di Castro
2022	J	`jnl`	Towards Autonomous Grading In The Real World. CoRR Yakov Miron, Chana Ross, Yuval Goldfracht, Chen Tessler, Dotan Di Castro
2021	A*	`conf`	Ensemble Bootstrapping for Q-Learning. ICML Oren Peer, Chen Tessler, Nadav Merlis, Ron Meir
2021	J	`jnl`	Ensemble Bootstrapping for Q-Learning. CoRR Oren Peer, Chen Tessler, Nadav Merlis, Ron Meir
2021	J	`jnl`	Inverse reinforcement learning in contextual MDPs. Mach. Learn. Stav Belogolovsky, Philip Korsunsky, Shie Mannor, Chen Tessler, Tom Zahavy
2021	J	`jnl`	Reinforcement Learning for Datacenter Congestion Control. CoRR Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor
2020	J	`jnl`	Maximizing the Total Reward via Reward Tweaking. CoRR Chen Tessler, Shie Mannor
2019	J	`jnl`	Action Assembly: Sparse Imitation Learning for Text Based Games with Combinatorial Action Spaces. CoRR Chen Tessler, Tom Zahavy, Deborah Cohen, Daniel J. Mankowitz, Shie Mannor
2019	A*	`conf`	Action Robust Reinforcement Learning and Applications in Continuous Control. ICML Chen Tessler, Yonathan Efroni, Shie Mannor
2019	J	`jnl`	Action Robust Reinforcement Learning and Applications in Continuous Control. CoRR Chen Tessler, Yonathan Efroni, Shie Mannor
2019	A*	`conf`	Distributional Policy Optimization: An Alternative Approach for Continuous Control. NeurIPS Chen Tessler, Guy Tennenholtz, Shie Mannor
2019	J	`jnl`	Distributional Policy Optimization: An Alternative Approach for Continuous Control. CoRR Chen Tessler, Guy Tennenholtz, Shie Mannor
2019	J	`jnl`	Inverse Reinforcement Learning in Contextual MDPs. CoRR Philip Korsunsky, Stav Belogolovsky, Tom Zahavy, Chen Tessler, Shie Mannor
2019	J	`jnl`	Natural Language State Representation for Reinforcement Learning. CoRR Erez Schwartz, Guy Tennenholtz, Chen Tessler, Shie Mannor
2019	—	`conf`	Reward Constrained Policy Optimization. ICLR (Poster) Chen Tessler, Daniel J. Mankowitz, Shie Mannor
2019	J	`jnl`	Stabilizing Off-Policy Reinforcement Learning with Conservative Policy Gradients. CoRR Chen Tessler, Nadav Merlis, Shie Mannor
2018	J	`jnl`	Reward Constrained Policy Optimization. CoRR Chen Tessler, Daniel J. Mankowitz, Shie Mannor
2017	A*	`conf`	A Deep Hierarchical Approach to Lifelong Learning in Minecraft. AAAI Chen Tessler, Shahar Givony, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor
2016	J	`jnl`	A Deep Hierarchical Approach to Lifelong Learning in Minecraft. CoRR Chen Tessler, Shahar Givony, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor