Energy-efficient and damage-recovery slithering gait design for a snake-like robot based on reinforcement learning and inverse reinforcement learning.
Zhenshan BingChristian LemkeLong ChengKai HuangAlois C. KnollPublished in: Neural Networks (2020)
Keyphrases
- energy efficient
- reinforcement learning
- wireless sensor networks
- inverse reinforcement learning
- energy consumption
- partially observable environments
- sensor networks
- context aware
- robot control
- generative model
- optimal policy
- state space
- routing protocol
- energy efficiency
- mobile robot
- temporal difference
- markov decision process
- dynamic programming
- learning algorithm