Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics.
Krishan RanaMing XuBrendan TiddMichael MilfordNiko SünderhaufPublished in: CoRL (2022)
Keyphrases
- reinforcement learning
- action space
- motor skills
- reinforcement learning methods
- learning algorithm
- state space
- optimal policy
- prior knowledge
- markov decision processes
- control policies
- state action
- policy search
- machine learning
- action selection
- reinforcement learning algorithms
- markov decision problems
- continuous state
- finite state
- supervised learning