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Different algorithms categorized in reinforcement learning

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$begingroup$

(Originally asked at cross validated forum: https://stats.stackexchange.com/questions/401615/different-algorithms-categorized-in-reinforcement-learning)

For some time I am going through reinforcement learning, and have found a lot of diverse information specially in area of Policies (algorithms).

I figured out that policies can be classified in On Vs Off, Model based vs Model Free, Also, these are kind of Q, DQN, SARSA etc.

I am looking for a categorized table where these are all well categorized . There is a good table given in wikipedia, but I think it is incomplete (Wikipedia page url - Reinforcement learning ), as it does not list Model based algorithms and it does not list examples where one kind of algorithm is a best fit.

Can someone help getting a bird's eye view of all, current known, reinforcement policies/algorithms, categorized in tabular format, and where to apply which one (and where not).

reinforcement-learning q-learning

share|improve this question

asked Apr 8 at 20:28

Sandeep BSandeep B

1168

$endgroup$

add a comment | 

0

$begingroup$

(Originally asked at cross validated forum: https://stats.stackexchange.com/questions/401615/different-algorithms-categorized-in-reinforcement-learning)

For some time I am going through reinforcement learning, and have found a lot of diverse information specially in area of Policies (algorithms).

I figured out that policies can be classified in On Vs Off, Model based vs Model Free, Also, these are kind of Q, DQN, SARSA etc.

I am looking for a categorized table where these are all well categorized . There is a good table given in wikipedia, but I think it is incomplete (Wikipedia page url - Reinforcement learning ), as it does not list Model based algorithms and it does not list examples where one kind of algorithm is a best fit.

Can someone help getting a bird's eye view of all, current known, reinforcement policies/algorithms, categorized in tabular format, and where to apply which one (and where not).

reinforcement-learning q-learning

share|improve this question

asked Apr 8 at 20:28

Sandeep BSandeep B

1168

$endgroup$

add a comment | 

$begingroup$

(Originally asked at cross validated forum: https://stats.stackexchange.com/questions/401615/different-algorithms-categorized-in-reinforcement-learning)

For some time I am going through reinforcement learning, and have found a lot of diverse information specially in area of Policies (algorithms).

I figured out that policies can be classified in On Vs Off, Model based vs Model Free, Also, these are kind of Q, DQN, SARSA etc.

I am looking for a categorized table where these are all well categorized . There is a good table given in wikipedia, but I think it is incomplete (Wikipedia page url - Reinforcement learning ), as it does not list Model based algorithms and it does not list examples where one kind of algorithm is a best fit.

Can someone help getting a bird's eye view of all, current known, reinforcement policies/algorithms, categorized in tabular format, and where to apply which one (and where not).

reinforcement-learning q-learning

share|improve this question

asked Apr 8 at 20:28

Sandeep BSandeep B

1168

$endgroup$

share|improve this question

asked Apr 8 at 20:28

Sandeep BSandeep B

1168

share|improve this question

asked Apr 8 at 20:28

Sandeep BSandeep B

1168

asked Apr 8 at 20:28

Sandeep BSandeep B

1168

asked Apr 8 at 20:28

Sandeep BSandeep B

1168