Real-world uses

Created for this library

1. 1.

   A logistics startup uses DQN to learn dispatching policies that outperform hand-tuned heuristics in simulated city networks.

2. 2.

   An energy company uses DQN to learn HVAC setpoint policies for office buildings while respecting comfort and cost constraints.

3. 3.

   A trading research team uses DQN to learn execution policies that minimize slippage on large orders in liquid futures markets.