Feature reinforcement learning agents
Reinforcement Learning (RL) is currently an active research area of Artificial Intelligence (AI) in which an agent interacts with an unknown environment in order to collect as much reward as possible. One of the most challenging problems in AI is the General Reinforcement Learning (GRL) problem where the agent does not have any knowledge about the environment except the access to observations and rewards after taking actions. A recently proposed framework called Feature Markov Decision Process...[Show more]
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