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SyNgu
/
ppo.py
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Syangugu
1
Reinforcement Learning
TensorBoard
LunarLander-v2
ppo
deep-reinforcement-learning
custom-implementation
deep-rl-course
Eval Results (legacy)
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main
ppo.py
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results.json
syanh
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172 Bytes
{
"env_id"
:
"LunarLander-v2"
,
"mean_reward"
:
51.12038653745542
,
"std_reward"
:
118.11572840732448
,
"n_evaluation_episodes"
:
10
,
"eval_datetime"
:
"2024-11-13T16:48:36.158249"
}