# Tag Info

Accepted

### What is the relation between Q-learning and policy gradients methods?

However, both approaches appear identical to me i.e. predicting the maximum reward for an action (Q-learning) is equivalent to predicting the probability of taking the action directly (PG). Both ...
• 26.6k
Accepted

### What are the differences between Q-Learning and A*?

Q-learning and A* can both be viewed as search algorithms, but, apart from that, they are not very similar. Q-learning is a reinforcement learning algorithm, i.e. an algorithm that attempts to find a ...
• 37.1k

### What is the relation between Q-learning and policy gradients methods?

This Tutorial by OpenAI offers a great comparison of different RL methods. I'll try to summarize the differences between Q-Learning and Policy Gradient methods: Objective Function In Q-Learning we ...
• 451
Accepted

### Why does DQN require two different networks?

My best guess that it's been done to reduce the computation time, otherwise we would have to find out the q value for each action and then select the best one. It has no real impact on computation ...
• 26.6k