Reducing the Cost of Cycle-Time Tuning for Real-World Policy Optimization

1 code implementation • 9 May 2023 • Homayoon Farrahi, A. Rupam Mahmood

In this work, we investigate the widely-used baseline hyper-parameter values of two policy gradient algorithms -- PPO and SAC -- across different cycle times.

Model-free Policy Learning with Reward Gradients

1 code implementation • 9 Mar 2021 • Qingfeng Lan, Samuele Tosatto, Homayoon Farrahi, A. Rupam Mahmood

As a key component in reinforcement learning, the reward function is usually devised carefully to guide the agent.

Continuous Control Policy Gradient Methods