Deep Reinforcement Learning with Risk-Seeking Exploration.
Nat DilokthanakulMurray ShanahanPublished in: SAB (2018)
Keyphrases
- reinforcement learning
- active exploration
- exploration strategy
- action selection
- exploration exploitation
- model based reinforcement learning
- function approximation
- risk management
- autonomous learning
- state space
- learning algorithm
- risk factors
- high risk
- markov decision processes
- minimum risk
- temporal difference
- reinforcement learning algorithms
- early warning
- deep learning
- optimal policy
- risk measures
- exploration exploitation tradeoff
- risk averse
- optimal control
- active learning
- machine learning
- learning agent
- learning capabilities
- multi agent reinforcement learning
- model free
- monte carlo
- dynamic programming
- robotic control
- data sets