Model-Based Relational RL When Object Existence is Partially Observable.
Ngo Anh VienMarc ToussaintPublished in: ICML (2014)
Keyphrases
- partially observable
- reinforcement learning
- partially observable domains
- markov decision processes
- state space
- model free
- partial observability
- decision problems
- infinite horizon
- partial observations
- hidden state
- dynamical systems
- markov decision problems
- partially observable environments
- initially unknown
- optimal policy
- reward function
- belief state
- reinforcement learning algorithms
- action space
- knowledge base
- action models
- policy iteration
- partially observable markov decision processes
- orders of magnitude
- dynamic programming
- multi agent
- function approximation
- object tracking
- partially observable markov decision process
- probabilistic model
- lower bound