# 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 ...
• 24k
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 ...
• 33.8k

• 33.8k

### What are some online courses for deep reinforcement learning?

For the programming part I suggest this YouTube channel by Phil Tabor (he also has a website: neuralnet.ai. I found his videos really useful while I was attending reinforcement learning classes at the ...
• 3,528
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### Is there any good reference for double deep Q-learning?

If you're interested in the theory behind Double Q-learning (not deep!), the reference paper would be Double Q-learning by Hado van Hasselt (2010). As for Double deep Q-learning (also called DDQN, ...
• 682
Accepted

### When do SARSA and Q-Learning converge to optimal Q values?

The true answers are 1 and 3. 1 is true because the required conditions for tabular Q-learning to converge is that each state action pair will be visited infinitely often, and Q-learning learns ...
• 4,055

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