2021
Learning in Non-Cooperative Configurable Markov Decision Processes
NeurIPS 2021poster
The Configurable Markov Decision Process framework includes two entities: a Reinforcement Learning agent and a configurator that can modify some environmental parameters to improve the agent's performance. This presupposes that the two actors have the same reward functions. What if the configurator…