Distributional Reinforcement Learning for Efficient Exploration.
Borislav MavrinHengshuai YaoLinglong KongKaiwen WuYaoliang YuPublished in: ICML (2019)
Keyphrases
- reinforcement learning
- function approximation
- state space
- co occurrence
- reinforcement learning algorithms
- model free
- markov decision processes
- learning process
- direct policy search
- policy search
- multi agent reinforcement learning
- temporal difference learning
- control problems
- optimal policy
- multi agent
- temporal difference
- multiscale
- continuous state
- learning algorithm
- robotic control
- transfer learning
- action selection
- dynamic programming
- function approximators
- evolutionary learning
- artificial intelligence
- data sets