Improved techniques for training gans T Salimans, I Goodfellow, W Zaremba, V Cheung, A Radford, X Chen
Advances in Neural Information Processing Systems, 2226-2234, 2016
11131 2016 Infogan: Interpretable representation learning by information maximizing generative adversarial nets X Chen, Y Duan, R Houthooft, J Schulman, I Sutskever, P Abbeel
Advances in Neural Information Processing Systems, 2172-2180, 2016
5621 2016 Improved variational inference with inverse autoregressive flow DP Kingma, T Salimans, R Jozefowicz, X Chen, I Sutskever, M Welling
Advances in Neural Information Processing Systems, 4743-4751, 2016
2169 2016 Benchmarking deep reinforcement learning for continuous control Y Duan, X Chen, R Houthooft, J Schulman, P Abbeel
International Conference on Machine Learning, 1329-1338, 2016
2129 2016 Evolution strategies as a scalable alternative to reinforcement learning T Salimans, J Ho, X Chen, S Sidor, I Sutskever
arXiv preprint arXiv:1703.03864, 2017
1815 2017 A Simple Neural Attentive Meta-Learner N Mishra, M Rohaninejad, X Chen, P Abbeel
NIPS 2017 Workshop on Meta-Learning, 2017
1723 2017 RL Y Duan, J Schulman, X Chen, PL Bartlett, I Sutskever, P Abbeel
arXiv preprint arXiv:1611.02779, 2016
1193 2016 Pixelcnn++: Improving the pixelcnn with discretized logistic mixture likelihood and other modifications T Salimans, A Karpathy, X Chen, DP Kingma
arXiv preprint arXiv:1701.05517, 2017
1166 2017 VIME: Variational information maximizing exploration R Houthooft, X Chen, Y Duan, J Schulman, F De Turck, P Abbeel
Advances in Neural Information Processing Systems, 1109-1117, 2016
978 2016 Evaluating Protein Transfer Learning with TAPE R Rao, N Bhattacharya, N Thomas, Y Duan, X Chen, J Canny, P Abbeel, ...
arXiv preprint arXiv:1906.08230, 2019
919 2019 Variational Lossy Autoencoder X Chen, DP Kingma, T Salimans, Y Duan, P Dhariwal, J Schulman, ...
International Conference on Learning Representations (ICLR), 2017
817 2017 Deep imitation learning for complex manipulation tasks from virtual reality teleoperation T Zhang, Z McCarthy, O Jowl, D Lee, X Chen, K Goldberg, P Abbeel
2018 IEEE International Conference on Robotics and Automation (ICRA), 1-8, 2018
807 2018 Parameter Space Noise for Exploration M Plappert, R Houthooft, P Dhariwal, S Sidor, RY Chen, X Chen, T Asfour, ...
arXiv preprint arXiv:1706.01905, 2017
762 2017 # Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning H Tang, R Houthooft, D Foote, A Stooke, X Chen, Y Duan, J Schulman, ...
arXiv preprint arXiv:1611.04717, 2016
727 2016 Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design J Ho, X Chen, A Srinivas, Y Duan, P Abbeel
arXiv preprint arXiv:1902.00275, 2019
509 2019 Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules D Ho, E Liang, I Stoica, P Abbeel, X Chen
arXiv preprint arXiv:1905.05393, 2019
506 2019 Meta Learning Shared Hierarchies K Frans, J Ho, X Chen, P Abbeel, J Schulman
arXiv preprint arXiv:1710.09767, 2017
434 2017 Equivalence between policy gradients and soft q-learning J Schulman, X Chen, P Abbeel
arXiv preprint arXiv:1704.06440, 2017
347 2017 PixelSNAIL: An Improved Autoregressive Generative Model X Chen, N Mishra, M Rohaninejad, P Abbeel
arXiv preprint arXiv:1712.09763, 2017
299 2017 NeuroCard: One Cardinality Estimator for All Tables Z Yang, A Kamsetty, S Luan, E Liang, Y Duan, X Chen, I Stoica
arXiv preprint arXiv:2006.08109, 2020
190 2020 
Pieter AbbeelUC Berkeley | CovariantBestätigte E-Mail-Adresse bei cs.berkeley.edu
