Survivable Robotic Control through Guided Bayesian Policy Search with Deep Reinforcement Learning.
Sayyed Jaffar Ali RazaApan DastiderMingjie LinPublished in: CoRR (2021)
Keyphrases
- robotic control
- policy search
- reinforcement learning
- reinforcement learning algorithms
- continuous state
- function approximation
- state space
- model free
- learning algorithm
- bayesian networks
- optimal control
- reward function
- temporal difference
- neural network
- dynamic programming
- adaptive control
- optimal policy
- function approximators
- markov decision problems
- multi agent
- markov decision processes
- markov chain
- partially observable
- robot control
- reinforcement learning methods
- hidden markov models
- machine learning