Action Space Shaping in Deep Reinforcement Learning.
Anssi KanervistoChristian SchellerVille HautamäkiPublished in: CoG (2020)
Keyphrases
- action space
- reinforcement learning
- state space
- reward shaping
- markov decision processes
- state and action spaces
- continuous state
- real valued
- action selection
- control policies
- markov decision problems
- reinforcement learning methods
- function approximation
- stochastic processes
- reinforcement learning algorithms
- function approximators
- continuous state spaces
- markov decision process
- state action
- model free
- control problems
- single agent
- learning algorithm
- higher order
- rl algorithms
- search algorithm
- partially observable
- planning problems
- heuristic search
- optimal policy
- markov chain