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harwiltz
  • Member for 2 years
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6 votes

What is the difference between reinforcement learning and optimal control?

4 votes
Accepted

Into which subcategories can reinforcement learning be divided?

4 votes
Accepted

Is the dropout technique specific only to neural networks?

3 votes

Why AlphaGo didn't use Deep Q-Learning?

3 votes
Accepted

What is the bias-variance trade-off in reinforcement learning?

3 votes
Accepted

Which policy has to be followed by a player while construction of its own Q-table?

3 votes

What is convergence analysis, and why is it needed in reinforcement learning?

3 votes

What is the purpose of a Neural Network in Reinforcement Learning when we have a Q-learning update rule?

3 votes
Accepted

How does an episode end in OpenAI Gym's "MountainCar-v0" environment?

3 votes
Accepted

Why is the optimal policy for an infinite horizon MDP deterministic?

2 votes

How is weighted average computed in Deep Q networks

2 votes
Accepted

Are policy and value iteration used only in grid world like scenarios?

2 votes
Accepted

What do the terms 'Bellman backup' and 'Bellman error' mean?

2 votes

When should one prefer using Total Variational Divergence over KL divergence in RL

2 votes

Why can't we fully exploit the environment after the first episode in Q-learning?

2 votes
Accepted

How can I classify policy gradient methods in RL?

2 votes

How to optimize neural network parameters with REINFORCE

2 votes

How do I calculate the return given the discount factor and a sequence of rewards?

2 votes

How can I read any AI paper?

1 vote
Accepted

How does training for DQN work if messing up in the environment in costly?

1 vote

How should we interpret all the different metrics in reinforcement learning?

1 vote

If the transition model is available, why would we use sample-based algorithms?

1 vote

How is the DQN able to generalise the learning to unseen states with such a loss function?

1 vote

How do I test an LSTM-based reinforcement learning model using any Atari games in OpenAI gym?

1 vote

Should I use exploration strategy in Policy Gradient algorithms?

1 vote

Reinforcement learning simple problem: agent not learning, wrong action

1 vote

Is the Bandit Problem an MDP?

1 vote
Accepted

How to calculate v min and v max for C51 DQN

1 vote

Why one unit in the layers of neural network is not enough?

1 vote

What are the available exploration strategies for continuous action space scenarios in RL?