| Learning optimal resource allocations in wireless systems M Eisen, C Zhang, LFO Chamon, DD Lee, A Ribeiro IEEE Transactions on Signal Processing 67 (10), 2775-2790, 2019 | 241 | 2019 |
| Memory augmented control networks A Khan, C Zhang, N Atanasov, K Karydis, V Kumar, DD Lee arXiv preprint arXiv:1709.05706, 2017 | 97 | 2017 |
| Learning implicit sampling distributions for motion planning C Zhang, J Huh, DD Lee 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 83* | 2018 |
| Online continuous mapping using gaussian process implicit surfaces B Lee, C Zhang, Z Huang, DD Lee 2019 International Conference on Robotics and Automation (ICRA), 6884-6890, 2019 | 50 | 2019 |
| Scalable centralized deep multi-agent reinforcement learning via policy gradients A Khan, C Zhang, DD Lee, V Kumar, A Ribeiro arXiv preprint arXiv:1805.08776, 2018 | 39 | 2018 |
| Online deep learning in wireless communication systems M Eisen, C Zhang, LFO Chamon, DD Lee, A Ribeiro 2018 52nd Asilomar Conference on Signals, Systems, and Computers, 1289-1293, 2018 | 9 | 2018 |
| Assumed density filtering q-learning H Jeong, C Zhang, GJ Pappas, DD Lee arXiv preprint arXiv:1712.03333, 2017 | 9 | 2017 |
| End-to-end navigation in unknown environments using neural networks A Khan, C Zhang, N Atanasov, K Karydis, DD Lee, V Kumar arXiv preprint arXiv:1707.07385, 2017 | 9 | 2017 |
| Collaborative multiagent reinforcement learning in homogeneous swarms A Khan, C Zhang, V Kumar, A Ribeiro | 6 | 2018 |
| Dual domain learning of optimal resource allocations in wireless systems M Eisen, C Zhang, LFO Chamon, DD Lee, A Ribeiro ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 5 | 2019 |
| Sufficiently accurate model learning C Zhang, A Khan, S Paternain, A Ribeiro 2020 IEEE International Conference on Robotics and Automation (ICRA), 10991 …, 2020 | 4 | 2020 |
| Bayesian Q-learning with Assumed Density Filtering H Jeong, C Zhang, DD Lee arXiv preprint arXiv:1712.03333, 2017 | 2 | 2017 |
| Optimizing storage space utilizing artificial intelligence J Shi, C Zhang US Patent US10926952B1, 2021 | | 2021 |
| Sufficiently Accurate Model Learning for Planning C Zhang, S Paternain, A Ribeiro arXiv preprint arXiv:2102.06099, 2021 | | 2021 |
| Multiresolution Partitioned Gaussian Processes for Terrain Estimation C Zhang, R Lanka, M Ono IEEE Aerospace Conference, 2018 | | 2018 |
Daniel D. LeeTisch University Professor of ECE, Cornell University在 alum.mit.edu 的电子邮件经过验证
