Simultaneous task and energy planning using deep reinforcement learning.
Di WangMengqi HuJeffery D. WeirPublished in: Inf. Sci. (2022)
Keyphrases
- reinforcement learning
- action selection
- partially observable
- function approximation
- multi agent
- heuristic search
- planning problems
- deterministic domains
- energy minimization
- learning problems
- robotic control
- stochastic domains
- partial observability
- goal oriented
- learning process
- state space
- decision support
- domain independent
- machine learning
- supervised learning
- reinforcement learning algorithms
- transfer learning
- markov decision processes
- model free
- planning domains
- temporal difference
- motion planning
- optimal control
- optimal policy
- partially observable markov decision processes
- decision making
- learning algorithm