18 citations · 23 across the 6 of their papers we have counts for
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cs.LG2019★ 18 cited
On the Sample Complexity of Actor-Critic Method for Reinforcement Learning with Function Approximation
Harshat Kumar, Alec Koppel, Alejandro Ribeiro
Reinforcement learning, mathematically described by Markov Decision Problems, may be approached either through dynamic programming or policy search. Actor-critic algorithms combine…
math.OC2019
Navigation of a Quadratic Potential with Ellipsoidal Obstacles
Harshat Kumar, Santiago Paternain, Alejandro Ribeiro
Given a convex quadratic potential of which its minimum is the agent's goal and a Euclidean space populated with ellipsoidal obstacles, one can construct a Rimon-Koditschek (RK) ar…