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Results tagged with neural-network
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user 86938
Artificial neural networks (ANN), are composed of 'neurons' - programming constructs that mimic the properties of biological neurons. A set of weighted connections between the neurons allows information to propagate through the network to solve artificial intelligence problems without the network designer having had a model of a real system.
5
votes
1
answer
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Reinforcement learning with sparse acting agent
I'm working on a problem where the optimal policy involves the agent "doing nothing" most of the time, and "doing something" during rare critical moments. Is there any literature or best practices whe …
- 71
2
votes
0
answers
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Incentivizing curiosity in a sparse reward environment
I'm quite new to reinforcement learning, but have been exploring different kinds of architectures (DQN, dueling DQN, actor critic, etc.) and evaluating their ability to solve certain problems. The pro …
- 71