Questions tagged [deepmind]

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AlphaGo Zero loss function

As far as I understood from the AlphaGo Zero system: During the self-play part, the MCTS algorithm stores a tuple ($s$, $\pi$, $z$) where $s$ is the state, $\pi$ is the distribution probability over ...
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12 views

temperature variable in boltzmmann-exploration in reinforcement learning

I have been using epsilon greedy action selection strategy and recently have come across boltzmann(softmax) action selection strategy. One thing I am not clear about boltzmann exploration is the ...
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21 views

Can dynamic pricing be modeled as Self Learning (Tabula rasa) Reinforcement Learning problem?

Mostly with respective Dynamic pricing problem, a large set of data is required to tutor or as guidance for reinforcement learning agents to avoid the cold start problems. Is there a way to define an ...
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341 views

DQN fails to find optimal policy

Based on DeepMind publication, I've recreated the environment and I am trying to make the DQN find and converge to an optimal policy. The task of an agent is to learn how to sustainably collect apples ...
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105 views

Game theory in Reinforcement Learning

In one of the recent blog post by Deepmind, they have used game theory in Alpha Star algorithm. Deep Mind Alpha-Star: Mastering this problem requires breakthroughs in several AI research challenges ...
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384 views

Deep Reinforcement Learning for dynamic pricing

I am trying to implement a Deep Q Network model for Dynamic pricing in Logistics. I can define State Space (Origin, Destination, type of the shipment, customer, Type of the product, Commodity of the ...
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75 views

Deepmind conditional neural process: evaluation

Going through the Deepmind jupyter notebook conditional neural processes, the plots at the bottom of the notebook show that the ground truth and the predicted distribution only overlap around the "...