2 papers
cs.LG2026
Issues with Measuring Task Complexity via Random Policies in Robotic Tasks
Reabetswe M. Nkhumise, Mohamed S. Talamali, Aditya Gilra
Reinforcement learning (RL) has enabled major advances in fields such as robotics and natural language processing. A key challenge in RL is measuring task complexity, which is esse…
cs.LG2024
How does Your RL Agent Explore? An Optimal Transport Analysis of Occupancy Measure Trajectories
Reabetswe M. Nkhumise, Debabrota Basu, Tony J. Prescott +1
The rising successes of RL are propelled by combining smart algorithmic strategies and deep architectures to optimize the distribution of returns and visitations over the state-act…