Contingency-Aware Exploration in Reinforcement Learning.
Jongwook ChoiYijie GuoMarcin MoczulskiJunhyuk OhNeal WuMohammad NorouziHonglak LeePublished in: CoRR (2018)
Keyphrases
- reinforcement learning
- exploration strategy
- active exploration
- action selection
- exploration exploitation
- model based reinforcement learning
- function approximation
- state space
- autonomous learning
- model free
- exploration exploitation tradeoff
- markov decision processes
- balancing exploration and exploitation
- learning algorithm
- robotic control
- multi agent
- temporal difference
- databases
- machine learning
- real time
- control problems
- optimal policy
- data mining
- learning agents
- direct policy search
- data sets
- information retrieval
- stochastic approximation
- function approximators
- learning agent
- database
- optimal control
- search strategies
- active learning