1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Learning Without Time-Based Embodiment Resets in Soft-Actor Critic
Homayoon Farrahi, A. Rupam Mahmood
When creating new reinforcement learning tasks, practitioners often accelerate the learning process by incorporating into the task several accessory components, such as breaking th…
cs.LG2024★ 1 cited
Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning
Mohamed Elsayed, Homayoon Farrahi, Felix Dangel +1
Second-order information is valuable for many applications but challenging to compute. Several works focus on computing or approximating Hessian diagonals, but even this simplifica…
cs.LG2023
Reducing the Cost of Cycle-Time Tuning for Real-World Policy Optimization
Homayoon Farrahi, A. Rupam Mahmood
Continuous-time reinforcement learning tasks commonly use discrete steps of fixed cycle times for actions. As practitioners need to choose the action-cycle time for a given task, a…