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AdriÓ PuigdomŔnech Badia
AdriÓ PuigdomŔnech Badia
DeepMind
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Title
Cited by
Cited by
Year
Asynchronous methods for deep reinforcement learning
V Mnih, A Puigdomenech Badia, M Mirza, A Graves, T Lillicrap, T Harley, ...
International conference on machine learning, 1928-1937, 2016
70382016
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
14572016
Imagination-augmented agents for deep reinforcement learning
S RacaniŔre, T Weber, D Reichert, L Buesing, A Guez, ...
Advances in neural information processing systems 30, 2017
522*2017
Agent57: Outperforming the atari human benchmark
AP Badia, B Piot, S Kapturowski, P Sprechmann, A Vitvitskyi, ZD Guo, ...
International Conference on Machine Learning, 507-517, 2020
2792020
Neural episodic control
A Pritzel, B Uria, S Srinivasan, AP Badia, O Vinyals, D Hassabis, ...
International Conference on Machine Learning, 2827-2836, 2017
2682017
Never give up: Learning directed exploration strategies
AP Badia, P Sprechmann, A Vitvitskyi, D Guo, B Piot, S Kapturowski, ...
arXiv preprint arXiv:2002.06038, 2020
1222020
Proceedings of the 33rd International Conference on Machine Learning
V Mnih, AP Badia, M Mirza, A Graves, T Lillicrap, T Harley, D Silver, ...
PMLR 48, 1928-1937, 2016
802016
Memory-based parameter adaptation
P Sprechmann, SM Jayakumar, JW Rae, A Pritzel, AP Badia, B Uria, ...
arXiv preprint arXiv:1802.10542, 2018
702018
Generalization of reinforcement learners with working and episodic memory
M Fortunato, M Tan, R Faulkner, S Hansen, A PuigdomŔnech Badia, ...
Advances in neural information processing systems 32, 2019
312019
Memo: A deep network for flexible combination of episodic memories
A Banino, AP Badia, R K÷ster, MJ Chadwick, V Zambaldi, D Hassabis, ...
arXiv preprint arXiv:2001.10913, 2020
252020
Asynchronous deep reinforcement learning
V Mnih, AP Badia, AB Graves, TJA Harley, D Silver, K Kavukcuoglu
US Patent 10,936,946, 2021
102021
Coverage as a principle for discovering transferable behavior in reinforcement learning
V Campos, P Sprechmann, SS Hansen, A Barreto, C Blundell, A Vitvitskyi, ...
52020
Beyond fine-tuning: Transferring behavior in reinforcement learning
V Campos, P Sprechmann, S Hansen, A Barreto, S Kapturowski, ...
arXiv preprint arXiv:2102.13515, 2021
42021
Agent57: Outperforming the Atari Human Benchmark. arXiv e-prints, page
AP Badia, B Piot, S Kapturowski, P Sprechmann, A Vitvitskyi, D Guo, ...
arXiv preprint arXiv:2003.13350, 2020
32020
Asynchronous deep reinforcement learning
V Mnih, AP Badia, AB Graves, TJA Harley, D Silver, K Kavukcuoglu
US Patent 11,334,792, 2022
12022
Retrieval-Augmented Reinforcement Learning
A Goyal, AL Friesen, A Banino, T Weber, NR Ke, AP Badia, A Guez, ...
arXiv preprint arXiv:2202.08417, 2022
12022
Jointly learning exploratory and non-exploratory action selection policies
AP Badia, P Sprechmann, A Vitvitskyi, Z Guo, B Piot, SJ Kapturowski, ...
US Patent App. 16/881,180, 2020
12020
The CLRS Algorithmic Reasoning Benchmark
P Veličković, AP Badia, D Budden, R Pascanu, A Banino, M Dashevskiy, ...
arXiv preprint arXiv:2205.15659, 2022
2022
Imagination-based agent neural networks
DP Wierstra, Y Li, R Pascanu, PW Battaglia, TG Weber, L Buesing, ...
US Patent 11,328,183, 2022
2022
The CLRS Algorithmic Reasoning Benchmark.
P Velickovic, AP Badia, D Budden, R Pascanu, A Banino, M Dashevskiy, ...
CoRR, 2022
2022
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Articles 1–20