Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization.
Hoi-To WaiZhuoran YangZhaoran WangMingyi HongPublished in: CoRR (2018)
Keyphrases
- primal dual
- multi agent reinforcement learning
- linear programming
- saddle point
- convex optimization problems
- affine scaling
- linear programming problems
- linear program
- convex optimization
- interior point methods
- approximation algorithms
- multi agent
- convergence rate
- semidefinite programming
- algorithm for linear programming
- variational inequalities
- interior point algorithm
- simplex algorithm
- multi agent systems
- combinatorial optimization
- mathematical programming
- reinforcement learning
- learning agents
- optimization problems
- semidefinite
- quadratic programming
- stochastic games
- computational complexity
- multiagent systems
- evolutionary algorithm
- special case
- artificial intelligence