Constrained cost-coupled stochastic games with independent state
... conditions), and unlike the situation in constrained MDPs (CMDPs) with a multichain structure, in which optimal Markov policies exist [15, 20], we know that equilibrium strategies in stochastic games need in general to depend on the whole history (see e.g. [21] for the special case of zero-sum games ...
... conditions), and unlike the situation in constrained MDPs (CMDPs) with a multichain structure, in which optimal Markov policies exist [15, 20], we know that equilibrium strategies in stochastic games need in general to depend on the whole history (see e.g. [21] for the special case of zero-sum games ...
Lecture Slides (PowerPoint)
... persistent: result, untried, unbacktracked, s, a if GOAL-TEST(s’) then return stop if s’ is a new state then untried[s’]←ACTIONS(s’) if s is not null then result[s,a]←s’ add s to front of unbacktracked[s’] if untried[s’] is empty then if unbacktracked[s’] is empty then return stop else a←action b so ...
... persistent: result, untried, unbacktracked, s, a if GOAL-TEST(s’) then return stop if s’ is a new state then untried[s’]←ACTIONS(s’) if s is not null then result[s,a]←s’ add s to front of unbacktracked[s’] if untried[s’] is empty then if unbacktracked[s’] is empty then return stop else a←action b so ...
References - Gathering 4 Gardner
... Theorem 0.1. For a given graph, let E be the number of edges and N be the number of nodes of the graph. Furthermore, for any initial configuration on the graph let D be the total number of dollars in the system. 1. If D > E − N then there is a winning strategy. 2. For any D ≤ E − N there will be ini ...
... Theorem 0.1. For a given graph, let E be the number of edges and N be the number of nodes of the graph. Furthermore, for any initial configuration on the graph let D be the total number of dollars in the system. 1. If D > E − N then there is a winning strategy. 2. For any D ≤ E − N there will be ini ...
