Plan-Guided Reinforcement Learning for Whole-Body Manipulation.
Mengchao ZhangJose BarreirosAykut Özgün ÖnolPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- function approximation
- state space
- reinforcement learning algorithms
- dynamic programming
- machine learning
- function approximators
- plan execution
- reinforcement learning methods
- optimal policy
- multi agent reinforcement learning
- learning process
- temporal difference learning
- action selection
- temporal difference
- partially observable
- learning algorithm
- case based planning
- stochastic approximation
- plan generation
- data sets
- robotic control
- model free
- planning domains
- decision theoretic
- learning classifier systems
- humanoid robot
- learning problems
- multi agent