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Results tagged with q-learning
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user 228546
A popular reinforcement learning algorithm, an instance of TD (temporal difference) learning.
1
vote
1
answer
2k
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Limits and constraints for Q-learning
I have simple implementation of Q-learning algorithm and I'm trying to run it on
States space size = 36865
Actions space size = 25
So my resulting Q-table is basically 1 million items table.
Is …
- 275
6
votes
1
answer
2k
views
Value iteration does not converge when using Q learning
I have a simple game and want my agent to play it with a help of reinforcement learning. We have a board and a value in each cell. The goal is to go from start to finish point with the highest score ( …
- 275
4
votes
Accepted
Value iteration does not converge when using Q learning
Ok, so I've slightly modified the initial example and the code below gives me working policy
states_space_size = 16 # 4x4 size of the board
actions_space_size = len(DIRECTIONS)
QSA = np.zeros(shape …
- 275
1
vote
1
answer
2k
views
Q-learning shows worse results than value iteration
I'm trying to solve the same problem with different algorithms (Travel max possible distance with a car). While using value iteration and policy iteration I was able to get the best results possible b …
- 275
1
vote
0
answers
109
views
Convergence criterion for R-learning algorithm
I'm trying to find a policy for a simple game using R-learning algorithm. I have a field with values (agent can move in 4 directions) and the goal is to get from starting point to finish point with th …
- 275