| Maximum a posteriori policy optimisation A Abdolmaleki, JT Springenberg, Y Tassa, R Munos, N Heess, ... arXiv preprint arXiv:1806.06920, 2018 | 271 | 2018 |
| Deepmind control suite Y Tassa, Y Doron, A Muldal, T Erez, Y Li, DL Casas, D Budden, ... arXiv preprint arXiv:1801.00690, 2018 | 251 | 2018 |
| Keep doing what worked: Behavioral modelling priors for offline reinforcement learning NY Siegel, JT Springenberg, F Berkenkamp, A Abdolmaleki, M Neunert, ... arXiv preprint arXiv:2002.08396, 2020 | 125 | 2020 |
| Acme: A research framework for distributed reinforcement learning M Hoffman, B Shahriari, J Aslanides, G Barth-Maron, F Behbahani, ... arXiv preprint arXiv:2006.00979, 2020 | 96 | 2020 |
| Model-based relative entropy stochastic search A Abdolmaleki, R Lioutikov, JR Peters, N Lau, L Pualo Reis, G Neumann Advances in Neural Information Processing Systems 28, 2015 | 67 | 2015 |
| V-mpo: On-policy maximum a posteriori policy optimization for discrete and continuous control HF Song, A Abdolmaleki, JT Springenberg, A Clark, H Soyer, JW Rae, ... arXiv preprint arXiv:1909.12238, 2019 | 52 | 2019 |
| Robust reinforcement learning for continuous control with model misspecification DJ Mankowitz, N Levine, R Jeong, Y Shi, J Kay, A Abdolmaleki, ... arXiv preprint arXiv:1906.07516, 2019 | 52 | 2019 |
| Relative entropy regularized policy iteration A Abdolmaleki, JT Springenberg, J Degrave, S Bohez, Y Tassa, D Belov, ... arXiv preprint arXiv:1812.02256, 2018 | 44 | 2018 |
| Model-free trajectory optimization for reinforcement learning R Akrour, G Neumann, H Abdulsamad, A Abdolmaleki International Conference on Machine Learning, 2961-2970, 2016 | 42 | 2016 |
| An optimized gait generator based on fourier series towards fast and robust biped locomotion involving arms swing N Shafii, A Khorsandian, A Abdolmaleki, B Jozi 2009 IEEE International Conference on Automation and Logistics, 2018-2023, 2009 | 39 | 2009 |
| Value constrained model-free continuous control S Bohez, A Abdolmaleki, M Neunert, J Buchli, N Heess, R Hadsell arXiv preprint arXiv:1902.04623, 2019 | 37 | 2019 |
| Continuous-discrete reinforcement learning for hybrid control in robotics M Neunert, A Abdolmaleki, M Wulfmeier, T Lampe, T Springenberg, ... Conference on Robot Learning, 735-751, 2020 | 31 | 2020 |
| Deriving and improving CMA-ES with information geometric trust regions A Abdolmaleki, B Price, N Lau, LP Reis, G Neumann Proceedings of the Genetic and Evolutionary Computation Conference, 657-664, 2017 | 30 | 2017 |
| Omnidirectional walking and active balance for soccer humanoid robot N Shafii, A Abdolmaleki, R Ferreira, N Lau, LP Reis Portuguese Conference on Artificial Intelligence, 283-294, 2013 | 30 | 2013 |
| Imagined value gradients: Model-based policy optimization with tranferable latent dynamics models A Byravan, JT Springenberg, A Abdolmaleki, R Hafner, M Neunert, ... Conference on Robot Learning, 566-589, 2020 | 29 | 2020 |
| Learning a humanoid kick with controlled distance A Abdolmaleki, D Simões, N Lau, LP Reis, G Neumann Robot World Cup, 45-57, 2016 | 28 | 2016 |
| A distributional view on multi-objective policy optimization A Abdolmaleki, S Huang, L Hasenclever, M Neunert, F Song, M Zambelli, ... International Conference on Machine Learning, 11-22, 2020 | 27 | 2020 |
| Simultaneously learning vision and feature-based control policies for real-world ball-in-a-cup D Schwab, T Springenberg, MF Martins, T Lampe, M Neunert, ... arXiv preprint arXiv:1902.04706, 2019 | 23 | 2019 |
| Guide actor-critic for continuous control V Tangkaratt, A Abdolmaleki, M Sugiyama arXiv preprint arXiv:1705.07606, 2017 | 21 | 2017 |
| Magnetic control of tokamak plasmas through deep reinforcement learning J Degrave, F Felici, J Buchli, M Neunert, B Tracey, F Carpanese, T Ewalds, ... Nature 602 (7897), 414-419, 2022 | 19 | 2022 |
Martin RiedmillerDeepMindAdresse e-mail validée de google.com
