HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation.
Boyan LiHongyao TangYan ZhengJianye HaoPengyi LiZhen WangZhaopeng MengLi WangPublished in: CoRR (2021)
Keyphrases
- continuous action
- policy search
- reinforcement learning
- continuous state
- action space
- continuous state and action spaces
- state space
- partially observable markov decision processes
- reinforcement learning algorithms
- dynamic programming
- control policies
- reward function
- optimal policy
- markov decision processes
- function approximation
- finite state
- reinforcement learning methods
- robot navigation
- action selection
- neural network
- real valued
- machine learning
- model free
- markov decision problems
- decision problems
- learning algorithm