In reinforcement learning, all objective functions are not equal.
Romain LarocheHarm van SeijenPublished in: ICLR (Workshop) (2018)
Keyphrases
- reinforcement learning
- objective function
- function approximation
- optimization problems
- multi objective
- reinforcement learning algorithms
- model free
- control problems
- temporal difference
- transfer learning
- direct policy search
- robotic control
- multi agent reinforcement learning
- action selection
- optimal control
- markov decision processes
- learning process
- dynamic programming
- cost function
- convex functions
- optimal solution
- multi agent
- learning algorithm
- database
- optimal policy
- global optimum
- learning classifier systems
- evolutionary algorithm
- autonomous learning
- policy search