Multi-task Deep Reinforcement Learning with Evolutionary Algorithm and Policy Gradients Method in 3D Control Tasks.
Shota ImaiYuichi SeiYasuyuki TaharaRyohei OriharaAkihiko OhsugaPublished in: BCD (selected papers) (2019)
Keyphrases
- multi task
- control policy
- reinforcement learning
- evolutionary algorithm
- multi task learning
- classification accuracy
- theoretical analysis
- unsupervised learning
- correlation coefficient
- feature set
- data sets
- sparse representation
- cross validation
- image denoising
- pairwise
- training data
- similarity measure
- multiple tasks
- neural network