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Autoregressive Policies for Continuous Control Deep Reinforcement Learning


Mar 27, 2019
Dmytro Korenkevych, A. Rupam Mahmood, Gautham Vasan, James Bergstra

* Submitted to 28th International Joint Conference on Artificial Intelligence (IJCAI 2019). Video: https://youtu.be/NCpyXBNqNmw Code: https://github.com/dkorenkevych/arp 

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Benchmarking Reinforcement Learning Algorithms on Real-World Robots


Sep 20, 2018
A. Rupam Mahmood, Dmytro Korenkevych, Gautham Vasan, William Ma, James Bergstra

* Appears in Proceedings of the Second Conference on Robot Learning (CoRL 2018). Companion video at https://youtu.be/ovDfhvjpQd8 and source code at https://github.com/kindredresearch/SenseAct 

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Setting up a Reinforcement Learning Task with a Real-World Robot


Mar 19, 2018
A. Rupam Mahmood, Dmytro Korenkevych, Brent J. Komer, James Bergstra

* Submitted to 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 

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Benchmarking Quantum Hardware for Training of Fully Visible Boltzmann Machines


Nov 14, 2016
Dmytro Korenkevych, Yanbo Xue, Zhengbing Bian, Fabian Chudak, William G. Macready, Jason Rolfe, Evgeny Andriyash

* 22 pages, 13 figures, D-Wave quantum system for sampling Boltzmann machines 

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