Is Long Horizon Reinforcement Learning More Difficult Than Short Horizon Reinforcement Learning?
Ruosong WangSimon S. DuLin F. YangSham M. KakadePublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- state space
- reinforcement learning algorithms
- function approximation
- model free
- optimal policy
- action selection
- multi agent reinforcement learning
- machine learning
- learning algorithm
- markov decision processes
- robotic control
- neural network
- learning problems
- dynamic programming
- multi agent
- action space
- evolutionary learning
- database
- supervised learning
- error prone
- semi supervised
- learning process
- control problems
- transition model