Real-time Policy Distillation in Deep Reinforcement Learning.
Yuxiang SunPooyan FazliPublished in: CoRR (2019)
Keyphrases
- real time
- reinforcement learning
- optimal policy
- action selection
- policy search
- robotic control
- state space
- action space
- function approximation
- learning algorithm
- optimal control
- markov decision process
- partially observable
- function approximators
- approximate dynamic programming
- policy gradient
- data sets
- dynamic programming
- markov decision processes
- supervised learning
- low cost
- control policies
- partially observable environments
- state and action spaces
- reinforcement learning problems
- inverse reinforcement learning
- actor critic
- high speed
- markov decision problems
- infinite horizon
- temporal difference learning
- state action
- transfer learning
- state dependent
- finite state
- asymptotically optimal
- learning classifier systems
- reward function