Regularizing action policies for smooth control with reinforcement learning S Mysore, B Mabsout, R Mancuso, K Saenko 2021 IEEE International Conference on Robotics and Automation (ICRA), 1810-1816, 2021 | 64 | 2021 |
How to train your quadrotor: A framework for consistently smooth and responsive flight control via reinforcement learning S Mysore, B Mabsout, K Saenko, R Mancuso ACM Transactions on Cyber-Physical Systems (TCPS) 5 (4), 1-24, 2021 | 18 | 2021 |
Multi-Critic Actor Learning: Teaching RL Policies to Act with Style S Mysore, G Cheng, Y Zhao, K Saenko, M Wu International Conference on Learning Representations, 2022 | 10 | 2022 |
Reward-guided curriculum for robust reinforcement learning S Mysore, R Platt, K Saenko Workshop on Multi-task and Lifelong Reinforcement Learning at ICML, 2019 | 9 | 2019 |
Designing composites with target effective young’s modulus using reinforcement learning AE Gongora, S Mysore, B Li, W Shou, W Matusik, EF Morgan, KA Brown, ... Proceedings of the 6th Annual ACM Symposium on Computational Fabrication, 1-11, 2021 | 6 | 2021 |
Honey. i shrunk the actor: A case study on preserving performance with smaller actors in actor-critic rl S Mysore, B El Mabsout, R Mancuso, K Saenko 2021 IEEE Conference on Games (CoG), 01-08, 2021 | 5 | 2021 |
The SwaNNFlight System: On-the-Fly Sim-to-Real Adaptation via Anchored Learning BE Mabsout, S Roozkhosh, S Mysore, K Saenko, R Mancuso arXiv preprint arXiv:2301.06987, 2023 | 1 | 2023 |
Exploiting Environmental Variation to Improve Policy Robustness in Reinforcement Learning S Mysore, R Platt, K Saenko | | 2018 |
Reward-guided Curriculum for Learning Robust Action Policies S Mysore, R Platt, K Saenko | | |
Honey, I Shrunk The Actor: A Case Study on Preserving Performance with Smaller Actors in Actor-Critic RL–Additional Results Data– S Mysore, B El Mabsout, R Mancuso, K Saenko | | |
Regularizing Action Policies for Smooth Control with Reinforcement Learning–Supplementary Material– S Mysore, B Mabsout, R Mancuso, K Saenko | | |