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Intro
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Classroom Contents
Policy Revision Dynamics and Algorithm Design in Stochastic and Mean-Field Games
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- 1 Intro
- 2 Single-Agent Reinforcement Learning
- 3 Applications of Multi-Agent Systems
- 4 Stochastic Games: Description of Play
- 5 Policies (General Treatment)
- 6 Objective Functions
- 7 Policy Update Rules and Policy Dynamics
- 8 e-Satisficing: Definitions
- 9 Two-Player Games and e-Satisficing: proof sketch (ctd)
- 10 Quantization of Policy Sets
- 11 Decoupling Learning and Adaptation
- 12 Algorithm for Symmetric Games: Abridged Algorithm
- 13 Simulations
