Adaptive Quadruped Balance Control for Dynamic Environments Using Maximum-Entropy Reinforcement Learning.
Haoran SunTingting FuYuanhuai LingChaoming HePublished in: Sensors (2021)
Keyphrases
- dynamic environments
- maximum entropy
- adaptive control
- reinforcement learning
- autonomous systems
- maximum entropy principle
- mobile robot
- autonomous agents
- reinforcement learning agents
- path planning
- markov models
- changing environment
- reinforcement learning algorithms
- class conditional
- transformation based learning
- optimal control
- control system
- maximum entropy model
- iterative scaling
- unmanned aerial vehicles
- conditional random fields
- minimum cross entropy
- control strategy
- principle of maximum entropy
- collision avoidance
- autonomous navigation
- potential field
- legged robots
- state space
- multi agent
- simultaneous localization and mapping
- single agent
- bayesian networks
- model free