2 papers
cs.LG2025
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control
Devdhar Patel, Hava Siegelmann
Reinforcement learning (RL) is rapidly reaching and surpassing human-level control capabilities. However, state-of-the-art RL algorithms often require timesteps and reaction times…
cs.AI2024
Optimizing Attention and Cognitive Control Costs Using Temporally-Layered Architectures
Devdhar Patel, Terrence Sejnowski, Hava Siegelmann
The current reinforcement learning framework focuses exclusively on performance, often at the expense of efficiency. In contrast, biological control achieves remarkable performance…