: the more the better, but slower. Default = 20
- `spec.tderror_clamp`: for robustness, clamp the TD Errror gradient at this value.

### Pros and Cons

The very nice property of DQN agents is that the I/O interface is quite generic and very simple: The agent accepts state vectors, produces discrete actions, and learns from relatively arbitrary agents. However, there are several things to keep in mind when applying this agent in practice:

- If the rewards are very sparse in the environment the agent will ha