Distributed Multitask Reinforcement Learning with Quadratic Convergence
By Rasul Tutunov, Dongho Kim, Haitham Bou-Ammar. 2018
9 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Qiang Yang
- Yu Zhang
- Parameswaran Kamalaruban
- Mingsheng Long
- A. Perera
- Sebastian Ruder
- Yu Zhang
- Mingxia Liu
Citations in the corpus
- A Survey on Multi-Task Learning (2017, background): “Some works [155], [156], [157], [158], [159], [160] in MRL”
- Applications of reinforcement learning in energy systems (2021, background): “The decentralized optimization remedies the scalability issues by distributing computation across multiple units; recently [192], have proposed scalable Multi-task RL algorithms with improved convergence guarantees.”