On the role of planning in model-based deep reinforcement learning.
Jessica B. HamrickAbram L. FriesenFeryal BehbahaniArthur GuezFabio ViolaSims WitherspoonThomas AnthonyLars BuesingPetar VelickovicThéophane WeberPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- model free
- function approximation
- action selection
- partially observable
- reinforcement learning algorithms
- learning algorithm
- reinforcement learning problems
- deterministic domains
- partial observability
- data driven
- heuristic search
- data sets
- optimal control
- deep learning
- decision support
- multi agent
- machine learning
- temporal difference
- domain specific
- mobile robot
- learning process
- multi agent reinforcement learning
- symbolic model checking