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SB3 PPO. Vectorized 16 env. ~ 9_000_000 timesteps of training. mean_reward=163 +/- 103 . Training for an additional 50_000_000 timesteps resulted in a worse reward when evaluating

28a0b97 about 3 years ago

Pixelcopter-PLE-v0_4
SB3 PPO. Vectorized 16 env. ~ 9_000_000 timesteps of training. mean_reward=163 +/- 103 . Training for an additional 50_000_000 timesteps resulted in a worse reward when evaluating about 3 years ago
.gitattributes
1.48 kB

initial commit about 3 years ago
Pixelcopter-PLE-v0_4.zip
143 kB
xet

SB3 PPO. Vectorized 16 env. ~ 9_000_000 timesteps of training. mean_reward=163 +/- 103 . Training for an additional 50_000_000 timesteps resulted in a worse reward when evaluating about 3 years ago
README.md
805 Bytes

SB3 PPO. Vectorized 16 env. ~ 9_000_000 timesteps of training. mean_reward=163 +/- 103 . Training for an additional 50_000_000 timesteps resulted in a worse reward when evaluating about 3 years ago
config.json
12.9 kB

SB3 PPO. Vectorized 16 env. ~ 9_000_000 timesteps of training. mean_reward=163 +/- 103 . Training for an additional 50_000_000 timesteps resulted in a worse reward when evaluating about 3 years ago
results.json
152 Bytes

SB3 PPO. Vectorized 16 env. ~ 9_000_000 timesteps of training. mean_reward=163 +/- 103 . Training for an additional 50_000_000 timesteps resulted in a worse reward when evaluating about 3 years ago