When does Self-Prediction help? Understanding Auxiliary Tasks in Reinforcement Learning.
Claas VoelckerTyler KastnerIgor GilitschenskiAmir-massoud FarahmandPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- prediction accuracy
- transfer learning
- cognitive tasks
- prediction model
- multiple tasks
- function approximation
- e learning
- prediction error
- dynamic programming
- least squares
- predictive model
- multi task
- solving problems
- model free
- markov decision processes
- prediction algorithm
- adaptation process
- policy search
- reinforcement learning agents
- evaluation function
- radial basis function
- database
- optimal policy
- state space
- recommender systems
- multi agent
- decision trees
- website
- feature selection
- machine learning