Chen Tessler
Chen Tessler
Research Scientist, NVIDIA Research
Verified email at - Homepage
Cited by
Cited by
Reward Constrained Policy Optimization
C Tessler, DJ Mankowitz, S Mannor
Seventh International Conference on Learning Representations, 2019
A deep hierarchical approach to lifelong learning in minecraft
C Tessler, S Givony, T Zahavy, D Mankowitz, S Mannor
Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017
Action Robust Reinforcement Learning and Applications in Continuous Control
C Tessler, Y Efroni, S Mannor
International Conference on Machine Learning, 6215--6224, 2019
Distributional policy optimization: An alternative approach for continuous control
C Tessler, G Tennenholtz, S Mannor
Advances in Neural Information Processing Systems 32, 1352--1362, 2019
Ensemble Bootstrapping for Q-Learning
O Peer, C Tessler, N Merlis, R Meir
International Conference on Machine Learning 139, 8454--8463, 2021
Reinforcement Learning for Datacenter Congestion Control
C Tessler, Y Shpigelman, G Dalal, A Mandelbaum, D Haritan Kazakov, ...
The Thirty-Fourth Annual Conference on Innovative Applications of Artificial …, 2022
CALM: Conditional Adversarial Latent Models for directable virtual characters
C Tessler, Y Kasten, Y Guo, S Mannor, G Chechik, XB Peng
ACM SIGGRAPH 2023 Conference Proceedings, 1-9, 2023
Inverse reinforcement learning in contextual MDPs
S Belo, P Korsunsky, S Mannor, C Tessler, T Zahavy
Machine Learning, 1--40, 2021
Action Assembly: Sparse Imitation Learning for Text Based Games with Combinatorial Action Spaces
C Tessler, T Zahavy, D Cohen, DJ Mankowitz, S Mannor
RLDM 2019: The Multi-disciplinary Conference on Reinforcement Learning and …, 2019
Language is power: Representing states using natural language in reinforcement learning
E Schwartz, G Tennenholtz, C Tessler, S Mannor
arXiv preprint arXiv:1910.02789, 2019
Reward tweaking: Maximizing the total reward while planning for short horizons
C Tessler, S Mannor
arXiv preprint arXiv:2002.03327, 2020
Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning
P Khanna, G Tennenholtz, N Merlis, S Mannor, C Tessler
The 22nd International Conference on Autonomous Agents and Multiagent …, 2023
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs
B Fuhrer, Y Shpigelman, C Tessler, S Mannor, G Chechik, E Zahavi, ...
The 23rd IEEE/ACM international Symposium on Cluster, Cloud and Internet …, 2022
Towards Autonomous Grading In The Real World
Y Miron, C Ross, Y Goldfracht, C Tessler, D Di Castro
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
Performing network congestion control utilizing reinforcement learning
S Mannor, C Tessler, Y Shpigelman, A Mandelbaum, G Dalal, D Kazakov, ...
US Patent App. 17/959,042, 2023
Gradient Boosting Reinforcement Learning
B Fuhrer, C Tessler, G Dalal
arXiv preprint arXiv:2407.08250, 2024
SMPLOlympics: Sports Environments for Physically Simulated Humanoids
Z Luo, J Wang, K Liu, H Zhang, C Tessler, J Wang, Y Yuan, J Cao, Z Lin, ...
arXiv preprint arXiv:2407.00187, 2024
PlaMo: Plan and Move in Rich 3D Physical Environments
A Hallak, G Dalal, C Tessler, K Guo, S Mannor, G Chechik
arXiv preprint arXiv:2406.18237, 2024
Machine learning techniques for implementing tree-based network congestion control
G Chechik, G Dalal, B Fuhrer, DH KAZAKOV, S Mannor, Y Shpigelman, ...
US Patent App. 18/298,949, 2024
Deep Reinforcement Learning Works-Now What?
C Tessler
Personal blog, 2020
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