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RayS2022
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q-FrozenLake-v1-4x4-noSlippery
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Reinforcement Learning
FrozenLake-v1-4x4-no_slippery
q-learning
custom-implementation
Eval Results
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f96f905
q-FrozenLake-v1-4x4-noSlippery
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results.json
RayS2022
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{
"env_id"
:
"FrozenLake-v1"
,
"mean_reward"
:
1.0
,
"n_eval_episodes"
:
100
,
"eval_datetime"
:
"2022-08-03T20:47:09.537657"
}