Obserwuj
Pieter Abbeel
Pieter Abbeel
UC Berkeley | Covariant
Zweryfikowany adres z cs.berkeley.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Denoising diffusion probabilistic models
J Ho, A Jain, P Abbeel
Advances in neural information processing systems 33, 6840-6851, 2020
175082020
Model-agnostic meta-learning for fast adaptation of deep networks
C Finn, P Abbeel, S Levine
International conference on machine learning, 1126-1135, 2017
145542017
Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor
T Haarnoja, A Zhou, P Abbeel, S Levine
International conference on machine learning, 1861-1870, 2018
102822018
Trust Region Policy Optimization
J Schulman, S Levine, P Moritz, MI Jordan, P Abbeel
International Conference on Machine Learning (ICML), 2015
92302015
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 29, 2016
57722016
Multi-agent actor-critic for mixed cooperative-competitive environments
R Lowe, YI Wu, A Tamar, J Harb, OAI Pieter Abbeel, I Mordatch
Advances in neural information processing systems 30, 2017
57442017
Apprenticeship learning via inverse reinforcement learning
P Abbeel, AY Ng
Proceedings of the twenty-first international conference on Machine learning, 1, 2004
45022004
End-to-end training of deep visuomotor policies
S Levine, C Finn, T Darrell, P Abbeel
Journal of Machine Learning Research 17 (39), 1-40, 2016
42362016
High-dimensional continuous control using generalized advantage estimation
J Schulman, P Moritz, S Levine, M Jordan, P Abbeel
arXiv preprint arXiv:1506.02438, 2015
42122015
Domain randomization for transferring deep neural networks from simulation to the real world
J Tobin, R Fong, A Ray, J Schneider, W Zaremba, P Abbeel
2017 IEEE/RSJ international conference on intelligent robots and systems …, 2017
36222017
Soft actor-critic algorithms and applications
T Haarnoja, A Zhou, K Hartikainen, G Tucker, S Ha, J Tan, V Kumar, ...
arXiv preprint arXiv:1812.05905, 2018
32002018
Hindsight experience replay
M Andrychowicz, F Wolski, A Ray, J Schneider, R Fong, P Welinder, ...
Advances in neural information processing systems 30, 2017
30872017
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
21692016
Decision transformer: Reinforcement learning via sequence modeling
L Chen, K Lu, A Rajeswaran, K Lee, A Grover, M Laskin, P Abbeel, ...
Advances in neural information processing systems 34, 15084-15097, 2021
17632021
Sim-to-real transfer of robotic control with dynamics randomization
XB Peng, M Andrychowicz, W Zaremba, P Abbeel
2018 IEEE international conference on robotics and automation (ICRA), 3803-3810, 2018
16882018
Constrained policy optimization
J Achiam, D Held, A Tamar, P Abbeel
International conference on machine learning, 22-31, 2017
16632017
A simple neural attentive meta-learner
N Mishra, M Rohaninejad, X Chen, P Abbeel
arXiv preprint arXiv:1707.03141, 2017
16122017
Reinforcement learning with deep energy-based policies
T Haarnoja, H Tang, P Abbeel, S Levine
International conference on machine learning, 1352-1361, 2017
15842017
Bottleneck transformers for visual recognition
A Srinivas, TY Lin, N Parmar, J Shlens, P Abbeel, A Vaswani
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
13662021
Deepmimic: Example-guided deep reinforcement learning of physics-based character skills
XB Peng, P Abbeel, S Levine, M Van de Panne
ACM Transactions On Graphics (TOG) 37 (4), 1-14, 2018
12432018
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20