Chen Tessler

According to our database, Chen Tessler authored at least 21 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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., December, 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, Vishnu Sarukkai, Brennan Shacklett, Iuri Frosio, Chen Tessler, Joohwan Kim, Carly Taylor, Gilbert Bernstein, Sanjiban Choudhury, Pat Hanrahan, Kayvon Fatahalian

CoRR, 2024

Gradient Boosting Reinforcement Learning.

Benjamin Fuhrer, Chen Tessler, Gal Dalal

CoRR, 2024

SMPLOlympics: Sports Environments for Physically Simulated Humanoids.

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

CoRR, 2024

PlaMo: Plan and Move in Rich 3D Physical Environments.

Assaf Hallak, Gal Dalal, Chen Tessler, Kelly Guo, Shie Mannor, Gal Chechik

CoRR, 2024

2023

CALM: Conditional Adversarial Latent Models for Directable Virtual Characters.

Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, Xue Bin Peng

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs.

Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning.

Pranav Khanna, Guy Tennenholtz, Nadav Merlis, Shie Mannor, Chen Tessler

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

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

Towards Autonomous Grading In The Real World.

Yakov Miron, Chana Ross, Yuval Goldfracht, Chen Tessler, Dotan Di Castro

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Inverse reinforcement learning in contextual MDPs.

Stav Belogolovsky, Philip Korsunsky, Shie Mannor, Chen Tessler, Tom Zahavy

Mach. Learn., 2021

Ensemble Bootstrapping for Q-Learning.

Oren Peer, Chen Tessler, Nadav Merlis, Ron Meir

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Maximizing the Total Reward via Reward Tweaking.

Chen Tessler, Shie Mannor

CoRR, 2020

2019

Natural Language State Representation for Reinforcement Learning.

Erez Schwartz, Guy Tennenholtz, Chen Tessler, Shie Mannor

CoRR, 2019

Stabilizing Off-Policy Reinforcement Learning with Conservative Policy Gradients.

Chen Tessler, Nadav Merlis, Shie Mannor

CoRR, 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

Distributional Policy Optimization: An Alternative Approach for Continuous Control.

Chen Tessler, Guy Tennenholtz, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Action Robust Reinforcement Learning and Applications in Continuous Control.

Chen Tessler, Yonathan Efroni, Shie Mannor

Proceedings of the 36th International Conference on Machine Learning, 2019

Reward Constrained Policy Optimization.

Chen Tessler, Daniel J. Mankowitz, Shie Mannor

Proceedings of the 7th International Conference on Learning Representations, 2019

2017

A Deep Hierarchical Approach to Lifelong Learning in Minecraft.

Chen Tessler, Shahar Givony, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017