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Reset-free guided policy search: Efficient deep reinforcement learning with stochastic initial states.

W. Montgomery, A. Ajay, C. Finn, P. Abbeel, and S. Levine. ICRA, page 3373-3380. IEEE, (2017)

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Ajay Chavan

Godwin Olu Ajayi

Anurag Gupta

Anurag Anand

Anurag Mishra

Other publications of authors with the same name

Reset-Free Guided Policy Search: Efficient Deep Reinforcement Learning with Stochastic Initial States.W. Montgomery, A. Ajay, C. Finn, P. Abbeel, and S. Levine. CoRR, (2016)Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation.Z. Li, T. Chen, Z. Hong, A. Ajay, and P. Agrawal. ICML, volume 202 of Proceedings of Machine Learning Research, page 19440-19459. PMLR, (2023)Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing.A. Ajay, J. Wu, N. Fazeli, M. Bauzá, L. Kaelbling, J. Tenenbaum, and A. Rodriguez. IROS, page 3066-3073. IEEE, (2018)Multi-Year On-Farm Trial Data on the Performance of Long- and Short-Duration Wheat Varieties against Sowing Dates in the Eastern Indo-Gangetic Plain of India.A. Ajay, M. Singh, S. Patra, H. Ranjan, A. Pundir, S. Poonia, A. Kumar, D. Singh, P. Kumar, M. Ignatius and 7 other author(s). Data, 8 (2): 39 (February 2023)Compositional Foundation Models for Hierarchical Planning.A. Ajay, S. Han, Y. Du, S. Li, A. Gupta, T. Jaakkola, J. Tenenbaum, L. Kaelbling, A. Srivastava, and P. Agrawal. CoRR, (2023)Combining Physical Simulators and Object-Based Networks for Control.A. Ajay, M. Bauzá, J. Wu, N. Fazeli, J. Tenenbaum, A. Rodriguez, and L. Kaelbling. ICRA, page 3217-3223. IEEE, (2019)Offline RL Policies Should Be Trained to be Adaptive.D. Ghosh, A. Ajay, P. Agrawal, and S. Levine. ICML, volume 162 of Proceedings of Machine Learning Research, page 7513-7530. PMLR, (2022)Backprop KF: Learning Discriminative Deterministic State Estimators.T. Haarnoja, A. Ajay, S. Levine, and P. Abbeel. NIPS, page 4376-4384. (2016)Statistical Learning under Heterogenous Distribution Shift.M. Simchowitz, A. Ajay, P. Agrawal, and A. Krishnamurthy. ICML, volume 202 of Proceedings of Machine Learning Research, page 31800-31851. PMLR, (2023)OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning.A. Ajay, A. Kumar, P. Agrawal, S. Levine, and O. Nachum. CoRR, (2020)

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Disambiguation of "Ajay, Anurag"

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Reset-free guided policy search: Efficient deep reinforcement learning with stochastic initial states.

Please choose a person to relate this publication to

Ajay Chavan

Godwin Olu Ajayi

Anurag Gupta

Anurag Anand

Anurag Mishra

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ajay, Anurag"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Reset-free guided policy search: Efficient deep reinforcement learning with stochastic initial states.

Please choose a person to relate this publication to

Ajay Chavan

Godwin Olu Ajayi

Anurag Gupta

Anurag Anand

Anurag Mishra

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Reset-free guided policy search: Efficient deep reinforcement learning with stochastic initial states.