Optimal Continuous State POMDP Planning with Semantic Observations: A Variational Approach.
Luke BurksIan LoefgrenNisar R. AhmedPublished in: CoRR (2018)
Keyphrases
- continuous state
- planning problems
- partially observable markov decision processes
- state dependent
- control policies
- reinforcement learning
- finite state
- dynamic programming
- robot navigation
- continuous state spaces
- policy search
- domain independent
- action space
- optimal policy
- state space
- dec pomdps
- point based value iteration
- heuristic search
- dynamical systems
- markov decision processes
- decision problems
- belief state
- steady state
- partially observable
- average reward
- hidden state
- optimal control
- markov chain
- belief space
- domain specific
- hidden markov models
- machine learning
- asymptotically optimal
- queueing networks
- initial state
- markov models
- computational complexity
- optimal solution
- continuous action