Budgeted Reinforcement Learning in Continuous State Space.
Nicolas CarraraEdouard LeurentRomain LarocheTanguy UrvoyOdalric-Ambrym MaillardOlivier PietquinPublished in: NeurIPS (2019)
Keyphrases
- continuous state spaces
- reinforcement learning
- state space
- continuous state
- control problems
- action space
- markov decision processes
- function approximation
- rl algorithms
- reinforcement learning algorithms
- optimal policy
- model free
- real valued
- multi agent
- dynamic programming
- markov decision problems
- state action
- action selection
- function approximators
- machine learning
- single agent
- average cost
- partially observable
- optimal control
- domain independent
- heuristic search
- mobile robot
- search space