9 citations · 9 across the 5 of their papers we have counts for
1 paper · 1 filter
Alan Chan, Kris de Asis, Richard S. Sutton
Value-based methods for reinforcement learning lack generally applicable ways to derive behavior from a value function. Many approaches involve approximate value iteration (e.g., $…