#Reinforcement Learning as Probabilistic Modelling: A #VariationalInference Formulation
Reinforcement Learning is concerned with an agent attempting to acquire optimal behaviour in unknown environments that typically exhibit stochasticity. Though minimally supervised, reinforcement learning algorithms have shown numerous success ranging from solving ATARI games using Deep Q-Networks, to the triumphant victory against the world champions in the game of GO, and recently in Start Craft.
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🔭 @DeepGravity
Reinforcement Learning is concerned with an agent attempting to acquire optimal behaviour in unknown environments that typically exhibit stochasticity. Though minimally supervised, reinforcement learning algorithms have shown numerous success ranging from solving ATARI games using Deep Q-Networks, to the triumphant victory against the world champions in the game of GO, and recently in Start Craft.
Article
🔭 @DeepGravity
Medium
Reinforcement Learning as Probabilistic Modelling: A Variational Inference Formulation (Part I)
Reinforcement Learning is concerned with an agent attempting to acquire optimal behaviour in unknown environments that typically exhibit…