| Reward Constrained Policy Optimization C Tessler, DJ Mankowitz, S Mannor Seventh International Conference on Learning Representations, 2019 | 606 | 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 | 471 | 2017 |
| Action Robust Reinforcement Learning and Applications in Continuous Control C Tessler, Y Efroni, S Mannor International Conference on Machine Learning, 6215--6224, 2019 | 254 | 2019 |
| 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 | 51 | 2023 |
| 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 | 51 | 2019 |
| Ensemble Bootstrapping for Q-Learning O Peer, C Tessler, N Merlis, R Meir International Conference on Machine Learning 139, 8454--8463, 2021 | 42 | 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 | 36 | 2022 |
| Inverse reinforcement learning in contextual MDPs S Belo, P Korsunsky, S Mannor, C Tessler, T Zahavy Machine Learning, 1--40, 2021 | 25* | 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 | 18* | 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 | 13 | 2019 |
| Reward tweaking: Maximizing the total reward while planning for short horizons C Tessler, S Mannor arXiv preprint arXiv:2002.03327, 2020 | 12* | 2020 |
| 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 | 5 | 2022 |
| 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 | 4* | 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 | 3 | 2022 |
| MaskedMimic: Unified physics-based character control through masked motion inpainting C Tessler, Y Guo, O Nabati, G Chechik, XB Peng ACM Transactions on Graphics (TOG) 43 (6), 1-21, 2024 | 2 | 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 | 1 | 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 | 1 | 2024 |
| 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 | 1 | 2023 |
| Deep Reinforcement Learning Works-Now What? C Tessler Personal blog, 2020 | 1 | 2020 |
| Improving Inverse Folding for Peptide Design with Diversity-regularized Direct Preference Optimization R Park, DJ Hsu, CB Roland, M Korshunova, C Tessler, S Mannor, ... arXiv preprint arXiv:2410.19471, 2024 | | 2024 |
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ NvidiaПотвърден имейл адрес: technion.ac.il
