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Siddharth Mysore
Siddharth Mysore
AI Scientist, Electronic Arts
Verified email at bu.edu - Homepage
Title
Cited by
Cited by
Year
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
642021
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
182021
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
102022
Reward-guided curriculum for robust reinforcement learning
S Mysore, R Platt, K Saenko
Workshop on Multi-task and Lifelong Reinforcement Learning at ICML, 2019
92019
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
62021
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
52021
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
12023
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
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Articles 1–11