| Bdd100k: A diverse driving video database with scalable annotation tooling F Yu, W Xian, Y Chen, F Liu, M Liao, V Madhavan, T Darrell arXiv preprint arXiv:1805.04687 2 (5), 6, 2018 | 470 | 2018 |
| Deep neuroevolution: Genetic algorithms are a competitive alternative for training deep neural networks for reinforcement learning FP Such, V Madhavan, E Conti, J Lehman, KO Stanley, J Clune arXiv preprint arXiv:1712.06567, 2017 | 388 | 2017 |
| Improving exploration in evolution strategies for deep reinforcement learning via a population of novelty-seeking agents E Conti, V Madhavan, FP Such, J Lehman, K Stanley, J Clune Advances in neural information processing systems, 5027-5038, 2018 | 165 | 2018 |
| Best practices for fine-tuning visual classifiers to new domains B Chu, V Madhavan, O Beijbom, J Hoffman, T Darrell European conference on computer vision, 435-442, 2016 | 80 | 2016 |
| BDD100K: A diverse driving dataset for heterogeneous multitask learning F Yu, H Chen, X Wang, W Xian, Y Chen, F Liu, V Madhavan, T Darrell Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 65 | 2020 |
| An atari model zoo for analyzing, visualizing, and comparing deep reinforcement learning agents FP Such, V Madhavan, R Liu, R Wang, PS Castro, Y Li, J Zhi, L Schubert, ... arXiv preprint arXiv:1812.07069, 2018 | 22 | 2018 |
| Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning. ArXiv171206567 Cs. 2017 FP Such, V Madhavan, E Conti, J Lehman, KO Stanley, J Clune URL http://arxiv. org/abs/1712.06567 31, 2017 | 17 | 2017 |
| Scaling map-elites to deep neuroevolution C Colas, V Madhavan, J Huizinga, J Clune Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 67-75, 2020 | 9 | 2020 |
| Training neural networks using evolution based strategies and novelty search E Conti, V Madhavan, JM Clune, FP Such, JA Lehman, KO Stanley US Patent App. 16/220,533, 2019 | 1 | 2019 |
| Scalable parameter encoding of artificial neural networks obtained via an evolutionary process FP Such, JM Clune, KO Stanley, E Conti, V Madhavan, JA Lehman US Patent 10,599,975, 2020 | | 2020 |
| An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents F Petroski Such, V Madhavan, R Liu, R Wang, PS Castro, Y Li, J Zhi, ... arXiv, arXiv: 1812.07069, 2018 | | 2018 |
| Examining the Effects of Supervision for Transfer from Synthetic to Real Driving Domains V Madhavan | | |
Jeff CluneResearch Manager, OpenAIAdresse e-mail validée de uwyo.edu
