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EviL0122
/
ppo-LunarLander-v2
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Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results
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ppo-LunarLander-v2
/
results.json
EviL0122
Upload PPO LunarLander-v2 trained agent
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{
"mean_reward"
:
-90.94151105789933
,
"std_reward"
:
37.020164574621866
,
"is_deterministic"
:
true
,
"n_eval_episodes"
:
10
,
"eval_datetime"
:
"2024-06-20T08:37:01.401352"
}