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updated the link to Gridcore environment
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amsks committed Nov 9, 2023
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@@ -19,4 +19,4 @@ Use the [Hydra SMAC sweeper](https://github.com/automl/hydra-smac-sweeper.git) t

## Level 3
### Implementing TD($\lambda$)
In the same format as the SARSA code, implement the TD($\lambda(n)$) algorithm on the Gridcore environment. Make $n$ a configurable parameter signifying the number of lookahead steps. Try to ablate the peformance for multiple values of $n$ and verify the theoretical claims in the lecture.
In the same format as the SARSA code, implement the TD($\lambda(n)$) algorithm on the [Gridcore environment](https://github.com/automl/TabularTempoRL/blob/master/grid_envs.py). Make $n$ a configurable parameter signifying the number of lookahead steps. Try to ablate the peformance for multiple values of $n$ and verify the theoretical claims in the lecture.

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