Graph Constrained Reinforcement Learning for Natural Language Action Spaces.
Prithviraj AmmanabroluMatthew J. HausknechtPublished in: CoRR (2020)
Keyphrases
- dynamic programming
- action space
- state space
- reinforcement learning
- markov decision processes
- natural language
- state and action spaces
- continuous state
- optimal policy
- reinforcement learning methods
- control policies
- machine learning
- function approximation
- reinforcement learning algorithms
- continuous state spaces
- state action
- skill learning
- function approximators
- real valued
- markov decision problems
- multi agent
- model free
- markov decision process
- stochastic processes
- action selection
- information extraction
- policy search
- decision problems
- probabilistic model