We investigate the problem of non-covariant behavior of policy gradient reinforcement learning algorithms. The policy gradient approach is amenable to analysis by information geom...
This paper demonstrates the effectiveness of genetic algorithms in training stable behavior in a model of the spinoneuromuscular system (SNMS). In particular, we test the stabili...
Realism has always been a goal in computer graphics. However, the algorithms involved in mimicking ical world are often complex, abstract, and sensitive to changes in experimental...
Chrobak (1986) proved that a language accepted by a given nondeterministic finite automaton with one-letter alphabet, i.e., a unary NFA, with n states can be represented as the uni...
Recent work by Procaccia, Rosenschein and Zohar [14] established some results regarding the complexity of manipulation and control in elections with multiple winners, such as elec...
Reshef Meir, Ariel D. Procaccia, Jeffrey S. Rosens...