An RL approach to common-interest continuous action games.
Abdel RodríguezPeter VrancxRicardo Grau ÁbaloAnn NowéPublished in: AAMAS (2012)
Keyphrases
- continuous action
- policy search
- continuous state
- reinforcement learning
- action space
- learning agents
- partially observable markov decision processes
- state space
- markov decision processes
- reinforcement learning algorithms
- game theory
- nash equilibrium
- multi agent
- game playing
- game theoretic
- function approximation
- finite state
- model free
- optimal policy
- temporal difference
- nash equilibria
- probability distribution
- state dependent
- imperfect information
- stochastic games
- state action
- optimal control
- dynamic programming
- linear programming
- learning algorithm