2 3 Markov Decision Process r k+1 s k+1 Environment Environment - PowerPoint PPT Presentation

Markov Decision Process r k+1 s k+1 Environment Environment Action a k State s k Reward r k Agent 4

r k+1 s k+1 Environment Action a k Reward r k Critic Value Function State s k TD Error Policy Actor Agent 10

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L. Busoniu, R. Babuska, and B. De Schutter, “A comprehensive survey of multiagent reinforcement learning,” IEEE Trans. Systems, Man and Cybernetics-Part C: Applications and Reviews, vol. 38, no.2, Mar. 2008. Task Type -> Cooperative Competitive Mixed Agent Awareness Independent Coordination-free Opponent- Agent-independent independent Tracking Coordination-based - Agent-tracking Aware Indirect Opponent-aware Agent-aware coordination 19

L. Busoniu, R. Babuska, and B. De Schutter, “A comprehensive survey of multiagent reinforcement learning,” IEEE Trans. Systems, Man and Cybernetics-Part C: Applications and Reviews, vol. 38, no.2, Mar. 2008. Obstacle S 1 S 2 L 1 R 1 L 2 R 2 1 2 Q L 2 S 2 R 2 L 1 10 -5 0 S 1 -5 -10 -5 R 1 -10 -5 10 21

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L. Busoniu, R. Babuska, and B. De Schutter, “A comprehensive survey of multiagent reinforcement learning,” IEEE Trans. Systems, Man and Cybernetics-Part C: Applications and Reviews, vol. 38, no.2, Mar. 2008. L 1 R 1 L 2 R 2 1 2 Q 1 L 2 R 2 Q 2 L 2 R 2 L 1 0 1 L 1 0 -1 R 1 -10 10 R 1 10 -10 25

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L. Busoniu, R. Babuska, and B. De Schutter, “A comprehensive survey of multiagent reinforcement learning,” IEEE Trans. Systems, Man and Cybernetics-Part C: Applications and Reviews, vol. 38, no.2, Mar. 2008. Q 1 L 2 R 2 L 1 0 3 L 1 R 1 1 Left R 1 2 0 Right Room Room L 2 R 2 Q 2 L 2 R 2 2 L 1 0 2 R 1 3 0 28

2 3 Markov Decision Process r k+1 s k+1 Environment Environment - PowerPoint PPT Presentation

2 3 Markov Decision Process r k+1 s k+1 Environment Environment Action a k State s k Reward r k Agent 4 5 6 7 8 9 r k+1 s k+1 Environment Action a k Reward r k Critic Value Function State s k TD Error Policy Actor Agent 10 11 12

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