Winning at Any Cost - Infringing the Cartel Prohibition With Reinforcement Learning.
Michael SchlechtingerDamaris KosackHeiko PaulheimThomas FetzerPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- high cost
- expected cost
- special case
- cost reduction
- minimal cost
- reinforcement learning algorithms
- function approximation
- model free
- cost sensitive
- policy search
- stochastic approximation
- action selection
- real time
- markov decision processes
- state space
- dynamic programming
- hidden markov models
- cost function
- decision making
- real world