| Prm-rl: Long-range robotic navigation tasks by combining reinforcement learning and sampling-based planning A Faust, K Oslund, O Ramirez, A Francis, L Tapia, M Fiser, J Davidson 2018 IEEE international conference on robotics and automation (ICRA), 5113-5120, 2018 | 253 | 2018 |
| PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning A Faust, O Ramirez, M Fiser, K Oslund, A Francis, J Davidson, L Tapia IEEE International Conference on Robotics and Automation (ICRA), Best Paper …, 2018 | 253 | 2018 |
| Learning navigation behaviors end-to-end with autorl HTL Chiang, A Faust, M Fiser, A Francis IEEE Robotics and Automation Letters 4 (2), 2007-2014, 2019 | 200 | 2019 |
| Lyapunov-based safe policy optimization for continuous control Y Chow, O Nachum, A Faust, E Duenez-Guzman, M Ghavamzadeh Conference on Robot Learning (CoRL), 2020 | 173 | 2020 |
| Learning Swing-free Trajectories for UAVs with a Suspended Load A Faust, I Palunko, P Cruz, R Fierro, L Tapia IEEE International Conference on Robotics and Automation (ICRA), 2013 | 153 | 2013 |
| Learning Swing-free Trajectories for UAVs with a Suspended Load in Obstacle-free Environments A Faust, I Palunko, P Cruz, R Fierro, L Tapia Autonomous Learning workshop at IEEE International Conference on Robotics …, 2013 | 153* | 2013 |
| Automated aerial suspended cargo delivery through reinforcement learning A Faust, I Palunko, P Cruz, R Fierro, L Tapia Artificial Intelligence 247, 381-398, 2017 | 143 | 2017 |
| A historical survey of algorithms and hardware architectures for neural-inspired and neuromorphic computing applications CD James, JB Aimone, NE Miner, CM Vineyard, FH Rothganger, ... Biologically Inspired Cognitive Architectures 19, 49-64, 2017 | 99 | 2017 |
| RL-RRT: Kinodynamic motion planning via learning reachability estimators from RL policies HTL Chiang, J Hsu, M Fiser, L Tapia, A Faust IEEE Robotics and Automation Letters 4 (4), 4298-4305, 2019 | 98 | 2019 |
| A Reinforcement Learning Approach Towards Autonomous Suspended Load Manipulation Using Aerial Robots I Palunko, A Faust, P Cruz, L Tapia, R Fierro ICRA, 2013 | 90 | 2013 |
| Long-range indoor navigation with prm-rl A Francis, A Faust, HTL Chiang, J Hsu, JC Kew, M Fiser, TWE Lee IEEE Transactions on Robotics 36 (4), 1115-1134, 2020 | 84 | 2020 |
| Mavbench: Micro aerial vehicle benchmarking B Boroujerdian, H Genc, S Krishnan, W Cui, A Faust, V Reddi 2018 51st annual IEEE/ACM international symposium on microarchitecture …, 2018 | 64 | 2018 |
| Air learning: a deep reinforcement learning gym for autonomous aerial robot visual navigation S Krishnan, B Boroujerdian, W Fu, A Faust, VJ Reddi Machine Learning 110, 2501-2540, 2021 | 54* | 2021 |
| Follownet: Robot navigation by following natural language directions with deep reinforcement learning P Shah, M Fiser, A Faust, JC Kew, D Hakkani-Tur arXiv preprint arXiv:1805.06150, 2018 | 51 | 2018 |
| Learned critical probabilistic roadmaps for robotic motion planning B Ichter, E Schmerling, TWE Lee, A Faust 2020 IEEE International Conference on Robotics and Automation (ICRA), 9535-9541, 2020 | 50 | 2020 |
| Evolving reinforcement learning algorithms JD Co-Reyes, Y Miao, D Peng, E Real, S Levine, QV Le, H Lee, A Faust ICLR, Oral, 2021 | 46 | 2021 |
| Reinforcement learning for balancing a flying inverted pendulum R Figueroa, A Faust, P Cruz, L Tapia, R Fierro Proceeding of the 11th World Congress on Intelligent Control and Automation …, 2014 | 39 | 2014 |
| Tiny Robot Learning (tinyRL) for Source Seeking on a Nano Quadcopter BP Duisterhof, S Krishnan, JJ Cruz, CR Banbury, W Fu, A Faust, ... IEEE International Conference on Robotics and Automation (ICRA), 7242-7248, 2021 | 38* | 2021 |
| Evolving rewards to automate reinforcement learning A Faust, A Francis, D Mehta AutoML Workshop, ICML, 2019 | 36 | 2019 |
| Continuous action reinforcement learning for control-affine systems with unknown dynamics A Faust, P Ruymgaart, M Salman, R Fierro, L Tapia IEEE/CAA Journal of Automatica Sinica 1 (3), 323-336, 2014 | 32* | 2014 |
Lydia TapiaAssociate Professor of Computer Science, University of New MexicoПотвърден имейл адрес: cs.unm.edu
