# Tag Info

1 vote

### How to form 10 and 20 actions in corridor environment, in the paper "Dueling Network Architectures for Deep Reinforcement Learning"?

I think you are right. But then the next doubt would be why to include so many no-ops instead of just original action space+ one no-op space rather. And for this, I think it is to intentionally ...
Accepted

### Does it make sense to provide a DQN with negative rewards for a network with relu and sigmoid activations?

A network with ReLU activation can predict negative values; we put ReLU between the hidden layers but return the output of the final layer without any activation function, or with a linear activation ...
• 451
1 vote
Accepted

### How to deal with changing rewards in Q-learning? DQN?

Is my definition of 'state' or 'action' wrong? I hesitate to say 'wrong', but that's not how state and action are defined in RL, and that mismatch might make the algorithms hard to understand. In RL ...
• 451