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Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning.
Dipendra Misra
Mikael Henaff
Akshay Krishnamurthy
John Langford
Published in:
CoRR (2019)
Keyphrases
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state abstraction
reinforcement learning
state space
hierarchical reinforcement learning
markov decision processes
reinforcement learning agents
learning algorithm
function approximation
genetic algorithm
markov chain
path finding