Experimental Results on Q-Learning for General-Sum Stochastic Games

By Junling Hu, Michael P. Wellman. 2000

27 citations recorded by the source corpus.

Citations in the corpus

• Friend-or-Foe Q-learning in General-Sum Games (2001, methodology): “Littman (1994) introduced a Q-learning algorithm called minimax-Q for zero-sum two-player games. Littman and Szepesv ari (1996) showed that minimax-Q convergences to the game-theoretic optimal value.”
• Comparative evaluation of MAL algorithms in a diverse set of ad hoc team problems (2012, unknown): “For a selection, see [3–6,15–17,21–24,32].”