John D Co-Reyes
John D Co-Reyes
Research Scientist at Google Brain
Verified email at - Homepage
Cited by
Cited by
Ex2: Exploration with exemplar models for deep reinforcement learning
J Fu, JD Co-Reyes, S Levine
NeurIPS, spotlight, 2017
Entity abstraction in visual model-based reinforcement learning
R Veerapaneni, JD Co-Reyes, M Chang, M Janner, C Finn, J Wu, ...
Conference on Robot Learning, 1439-1456, 2020
Self-consistent trajectory autoencoder: Hierarchical reinforcement learning with trajectory embeddings
J Co-Reyes, YX Liu, A Gupta, B Eysenbach, P Abbeel, S Levine
International conference on machine learning, 1009-1018, 2018
Guiding policies with language via meta-learning
JD Co-Reyes, A Gupta, S Sanjeev, N Altieri, J Andreas, J DeNero, ...
International Conference on Learning Representations, 2018
Evolving reinforcement learning algorithms
JD Co-Reyes, Y Miao, D Peng, E Real, S Levine, QV Le, H Lee, A Faust
International Conference on Learning Representations, oral presentation, 2021
Ecological reinforcement learning
JD Co-Reyes, S Sanjeev, G Berseth, A Gupta, S Levine
arXiv preprint arXiv:2006.12478, 2020
Meta-learning language-guided policy learning
JD Co-Reyes, A Gupta, S Sanjeev, N Altieri, J DeNero, P Abbeel, ...
International Conference on Learning Representations 3, 2019
RL-DARTS: differentiable architecture search for reinforcement learning
Y Miao, X Song, D Peng, S Yue, JD Co-Reyes, E Brevdo, A Faust
arXiv preprint arXiv:2106.02229, 2021
Intrinsic control of variational beliefs in dynamic partially-observed visual environments
N Rhinehart, J Wang, G Berseth, JD Co-Reyes, D Hafner, C Finn, ...
ICML 2021 Workshop on Unsupervised Reinforcement Learning, 2021
Multi-objective evolution for Generalizable Policy Gradient Algorithms
JJ Garau-Luis, Y Miao, JD Co-Reyes, A Parisi, J Tan, E Real, A Faust
arXiv preprint arXiv:2204.04292, 2022
Differentiable Architecture Search for Reinforcement Learning
Y Miao, X Song, JD Co-Reyes, D Peng, S Yue, E Brevdo, A Faust
First Conference on Automated Machine Learning (Main Track), 2022
Information is Power: Intrinsic Control via Information Capture
N Rhinehart, J Wang, G Berseth, J Co-Reyes, D Hafner, C Finn, S Levine
Advances in Neural Information Processing Systems 34, 10745-10758, 2021
Building Reinforcement Learning Algorithms that Generalize: From Latent Dynamics Models to Meta-Learning
JD Co-Reyes
Accelerating Online Reinforcement Learning via Model-Based Meta-Learning
JD Co-Reyes, S Feng, G Berseth, J Qui, S Levine
Learning to Learn-Workshop at ICLR 2021, 2021
Object Abstraction in Visual Model-Based Reinforcement Learning
R Veerapaneni, JD Co-Reyes, M Chang, M Janner, C Finn, J Wu, ...
Guiding Policies with Language via Meta-Learning
JDCRA Gupta, SSN Altieri, JDNPA SergeyLevine
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