A Deep Hierarchical Approach to Lifelong Learning in Minecraft. - Chen Tessler; Shahar Givony; Tom Zahavy; Daniel J. Mankowitz; Shie Mannor (AAAI, 2017)

Reward Constrained Policy Optimization. - Chen Tessler; Daniel J. Mankowitz; Shie Mannor (ICLR (Poster), 2019)

Action Robust Reinforcement Learning and Applications in Continuous Control. - Chen Tessler; Yonathan Efroni; Shie Mannor (ICML, 2019)

Distributional Policy Optimization: An Alternative Approach for Continuous Control. - Chen Tessler; Guy Tennenholtz; Shie Mannor (NeurIPS, 2019)

Action Assembly: Sparse Imitation Learning for Text Based Games with Combinatorial Action Spaces. - Chen Tessler; Tom Zahavy; Deborah Cohen; Daniel J. Mankowitz; Shie Mannor (CoRR, 2019)

Stabilizing Off-Policy Reinforcement Learning with Conservative Policy Gradients. - Chen Tessler; Nadav Merlis; Shie Mannor (CoRR, 2019)

Natural Language State Representation for Reinforcement Learning. - Erez Schwartz; Guy Tennenholtz; Chen Tessler; Shie Mannor (CoRR, 2019)

Maximizing the Total Reward via Reward Tweaking. - Chen Tessler; Shie Mannor (CoRR, 2020)

Ensemble Bootstrapping for Q-Learning. - Oren Peer; Chen Tessler; Nadav Merlis; Ron Meir (ICML, 2021)

Inverse reinforcement learning in contextual MDPs. - Stav Belogolovsky; Philip Korsunsky; Shie Mannor; Chen Tessler; Tom Zahavy (Mach. Learn., 2021)

Towards Autonomous Grading In The Real World. - Yakov Miron; Chana Ross; Yuval Goldfracht; Chen Tessler; Dotan Di Castro (IROS, 2022)

Reinforcement Learning for Datacenter Congestion Control. - Chen Tessler; Yuval Shpigelman; Gal Dalal; Amit Mandelbaum; Doron Haritan Kazakov; Benjamin Fuhrer; Gal Chechik; Shie Mannor (SIGMETRICS Perform. Evaluation Rev., 2022)

Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning. - Pranav Khanna; Guy Tennenholtz; Nadav Merlis; Shie Mannor; Chen Tessler (AAMAS, 2023)

Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs. - Benjamin Fuhrer; Yuval Shpigelman; Chen Tessler; Shie Mannor; Gal Chechik; Eitan Zahavi; Gal Dalal (CCGrid, 2023)

CALM: Conditional Adversarial Latent Models for Directable Virtual Characters. - Chen Tessler; Yoni Kasten; Yunrong Guo; Shie Mannor; Gal Chechik; Xue Bin Peng (SIGGRAPH (Conference Paper Track), 2023)

PlaMo: Plan and Move in Rich 3D Physical Environments. - Assaf Hallak; Gal Dalal; Chen Tessler; Kelly Guo; Shie Mannor; Gal Chechik (ECCV Workshops (2), 2024)

SMPLOlympics: Sports Environments for Physically Simulated Humanoids. - Zhengyi Luo 002; Jiashun Wang; Kangni Liu; Haotian Zhang 004; Chen Tessler; Jingbo Wang 003; Ye Yuan 007; Jinkun Cao; Zihui Lin; Fengyi Wang; Jessica K. Hodgins; Kris Kitani (CoRR, 2024)

Gradient Boosting Reinforcement Learning. - Benjamin Fuhrer; Chen Tessler; Gal Dalal (CoRR, 2024)

Improving Inverse Folding for Peptide Design with Diversity-regularized Direct Preference Optimization. - Ryan Park; Darren J. Hsu; C. Brian Roland; Maria Korshunova; Chen Tessler; Shie Mannor; Olivia Viessmann; Bruno Trentini (CoRR, 2024)

Learning to Move Like Professional Counter-Strike Players. - David Durst; Feng Xie 008; Vishnu Sarukkai; Brennan Shacklett; Iuri Frosio; Chen Tessler; Joohwan Kim; Carly Taylor; Gilbert Louis Bernstein; Sanjiban Choudhury; Pat Hanrahan; Kayvon Fatahalian (Comput. Graph. Forum, 2024)

MaskedMimic: Unified Physics-Based Character Control Through Masked Motion Inpainting. - Chen Tessler; Yunrong Guo; Ofir Nabati; Gal Chechik; Xue Bin Peng (ACM Trans. Graph., 2024)

Task Tokens: A Flexible Approach to Adapting Behavior Foundation Models. - Ron Vainshtein; Zohar Rimon; Shie Mannor; Chen Tessler (CoRR, 2025)

Emergent Active Perception and Dexterity of Simulated Humanoids from Visual Reinforcement Learning. - Zhengyi Luo 002; Chen Tessler; Toru Lin; Ye Yuan 007; Tairan He; Wenli Xiao; Yunrong Guo; Gal Chechik; Kris Kitani; Linxi Fan; Yuke Zhu (CoRR, 2025)

HIL: Hybrid Imitation Learning of Diverse Parkour Skills from Videos. - Jiashun Wang; Yifeng Jiang 009; Haotian Zhang 004; Chen Tessler; Davis Rempe; Jessica K. Hodgins; Xue Bin Peng (CoRR, 2025)

MaskedManipulator: Versatile Whole-Body Control for Loco-Manipulation. - Chen Tessler; Yifeng Jiang 009; Erwin Coumans; Zhengyi Luo 002; Gal Chechik; Xue Bin Peng (CoRR, 2025)