Asynchronous methods for deep reinforcement learning V Mnih, AP Badia, M Mirza, A Graves, T Lillicrap, T Harley, D Silver, ... International Conference on Machine Learning, 1928-1937, 2016 | 11526 | 2016 |
Hybrid computing using a neural network with dynamic external memory A Graves, G Wayne, M Reynolds, T Harley, I Danihelka, ... Nature 538 (7626), 471-476, 2016 | 1918 | 2016 |
Impala: Scalable distributed deep-rl with importance weighted actor-learner architectures L Espeholt, H Soyer, R Munos, K Simonyan, V Mnih, T Ward, Y Doron, ... International Conference on Machine Learning, 1407-1416, 2018 | 1639 | 2018 |
The predictron: End-to-end learning and planning D Silver, H Hasselt, M Hessel, T Schaul, A Guez, T Harley, ... International Conference on Machine Learning, 3191-3199, 2017 | 306 | 2017 |
Scaling memory-augmented neural networks with sparse reads and writes J Rae, JJ Hunt, I Danihelka, T Harley, AW Senior, G Wayne, A Graves, ... Advances in Neural Information Processing Systems, 3621-3629, 2016 | 184 | 2016 |
Multiplicative interactions and where to find them SM Jayakumar, WM Czarnecki, J Menick, J Schwarz, J Rae, S Osindero, ... International Conference on Learning Representations, 2019 | 129 | 2019 |
Dynamic control flow in large-scale machine learning Y Yu, M Abadi, P Barham, E Brevdo, M Burrows, A Davis, J Dean, ... Proceedings of the Thirteenth EuroSys Conference, 1-15, 2018 | 91 | 2018 |
Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text F Hill, S Mokra, N Wong, T Harley arXiv preprint arXiv:2005.09382, 2020 | 86 | 2020 |
A generalized framework for population based training A Li, O Spyra, S Perel, V Dalibard, M Jaderberg, C Gu, D Budden, ... Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 77 | 2019 |
Imitating interactive intelligence J Abramson, A Ahuja, I Barr, A Brussee, F Carnevale, M Cassin, ... arXiv preprint arXiv:2012.05672, 2020 | 69 | 2020 |
Asynchronous methods for deep reinforcement learning. arXiv 2016 V Mnih, AP Badia, M Mirza, A Graves, TP Lillicrap, T Harley, D Silver, ... arXiv preprint arXiv:1602.01783, 0 | 59 | |
Creating multimodal interactive agents with imitation and self-supervised learning DMIA Team, J Abramson, A Ahuja, A Brussee, F Carnevale, M Cassin, ... arXiv preprint arXiv:2112.03763, 2021 | 41 | 2021 |
Asynchronous deep reinforcement learning V Mnih, AP Badia, AB Graves, TJA Harley, D Silver, K Kavukcuoglu US Patent 10,936,946, 2021 | 23 | 2021 |
Augmenting neural networks with sparsely-accessed external memory I Danihelka, GD Wayne, FM Wang, ET Grefenstette, JW Rae, AB Graves, ... US Patent 11,151,443, 2021 | 15 | 2021 |
Asynchronous deep reinforcement learning V Mnih, AP Badia, AB Graves, TJA Harley, D Silver, K Kavukcuoglu US Patent 10,346,741, 2019 | 12 | 2019 |
Augmenting neural networks with external memory AB Graves, I Danihelka, TJA Harley, MKC Reynolds, GD Wayne US Patent 10,832,134, 2020 | 10 | 2020 |
Asynchronous deep reinforcement learning V Mnih, AP Badia, AB Graves, TJA Harley, D Silver, K Kavukcuoglu US Patent App. 10/346,741, 2019 | 9* | 2019 |
dm_env: a Python interface for reinforcement learning environments A Muldal, Y Doron, J Aslanides, T Harley, T Ward, S Liu | 6 | 2019 |
Scaling Instructable Agents Across Many Simulated Worlds MA Raad, A Ahuja, C Barros, F Besse, A Bolt, A Bolton, B Brownfield, ... arXiv preprint arXiv:2404.10179, 2024 | 4 | 2024 |
Asynchronous deep reinforcement learning V Mnih, AP Badia, AB Graves, TJA Harley, D Silver, K Kavukcuoglu US Patent 11,334,792, 2022 | 3 | 2022 |