Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization.
Hoi-To WaiZhuoran YangZhaoran WangMingyi HongPublished in: NeurIPS (2018)
Keyphrases
- primal dual
- multi agent reinforcement learning
- linear programming
- saddle point
- affine scaling
- convex optimization
- approximation algorithms
- convex optimization problems
- interior point methods
- algorithm for linear programming
- simplex algorithm
- convergence rate
- variational inequalities
- linear program
- linear programming problems
- semidefinite programming
- interior point algorithm
- optimization problems
- reinforcement learning
- stochastic games
- learning agents
- multi agent learning
- mathematical programming
- np hard
- multi agent
- learning agent
- multi agent systems
- search algorithm