On the Efficacy of State Space Reconstruction Methods in Determining Causality.
Bree CumminsTomás GedeonKelly SpendlovePublished in: SIAM J. Appl. Dyn. Syst. (2015)
Keyphrases
- state space
- heuristic search
- optimal policy
- dynamical systems
- dynamic programming
- markov decision processes
- state variables
- reinforcement learning
- search space
- causal reasoning
- reinforcement learning algorithms
- markov chain
- particle filter
- causal relationships
- continuous time markov process
- stochastic domains
- reward function
- artificial neural networks
- multiscale
- goal state
- artificial intelligence
- real time