Greedy Algorithms for Sparse Reinforcement Learning.
Christopher Painter-WakefieldRonald ParrPublished in: ICML (2012)
Keyphrases
- greedy algorithms
- reinforcement learning
- greedy algorithm
- search algorithm
- state space
- knapsack problem
- function approximation
- high dimensional
- compressive sensing
- sparse data
- model free
- markov decision processes
- robotic control
- machine learning
- multi agent reinforcement learning
- reinforcement learning algorithms
- sparse coding
- sparse representation
- learning process
- multi agent
- dynamic programming
- elastic net
- learning algorithm