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Adrià Puigdomènech Badia
Adrià Puigdomènech Badia
DeepMind
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Zitiert von
Zitiert von
Jahr
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
110492016
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
18672016
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
7372023
Imagination-augmented agents for deep reinforcement learning
S Racanière, T Weber, D Reichert, L Buesing, A Guez, ...
Advances in neural information processing systems 30, 2017
686*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
6192020
Neural episodic control
A Pritzel, B Uria, S Srinivasan, AP Badia, O Vinyals, D Hassabis, ...
International conference on machine learning, 2827-2836, 2017
4002017
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
3242020
Memory-based parameter adaptation
P Sprechmann, SM Jayakumar, JW Rae, A Pritzel, AP Badia, B Uria, ...
arXiv preprint arXiv:1802.10542, 2018
1082018
Generalization of reinforcement learners with working and episodic memory
M Fortunato, M Tan, R Faulkner, S Hansen, A Puigdomènech Badia, ...
Advances in neural information processing systems 32, 2019
702019
The clrs algorithmic reasoning benchmark
P Veličković, AP Badia, D Budden, R Pascanu, A Banino, M Dashevskiy, ...
International Conference on Machine Learning, 22084-22102, 2022
612022
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, 1783
561783
Retrieval-augmented reinforcement learning
A Goyal, A Friesen, A Banino, T Weber, NR Ke, AP Badia, A Guez, ...
International Conference on Machine Learning, 7740-7765, 2022
442022
Memo: A deep network for flexible combination of episodic memories
A Banino, AP Badia, R Köster, MJ Chadwick, V Zambaldi, D Hassabis, ...
arXiv preprint arXiv:2001.10913, 2020
362020
Human-level Atari 200x faster
S Kapturowski, V Campos, R Jiang, N Rakićević, H van Hasselt, ...
arXiv preprint arXiv:2209.07550, 2022
252022
Asynchronous deep reinforcement learning
V Mnih, AP Badia, AB Graves, TJA Harley, D Silver, K Kavukcuoglu
US Patent 10,936,946, 2021
212021
Beyond fine-tuning: Transferring behavior in reinforcement learning
V Campos, P Sprechmann, S Hansen, A Barreto, S Kapturowski, ...
arXiv preprint arXiv:2102.13515, 2021
212021
Coverage as a principle for discovering transferable behavior in reinforcement learning
V Campos, P Sprechmann, SS Hansen, A Barreto, C Blundell, A Vitvitskyi, ...
92020
Neural episodic control
B Uria-Martínez, A Pritzel, C Blundell, AP Badia
US Patent 10,664,753, 2020
52020
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
52020
Machine learning systems with memory based parameter adaptation for learning fast and slower
P Sprechmann, S Jayakumar, JW Rae, A Pritzel, AP Badia, O Vinyals, ...
US Patent App. 16/759,561, 2020
42020
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