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  1. README.md +20 -0
  2. maze/{train-00047-of-00261.parquet → train-00000-of-00005.parquet} +2 -2
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README.md CHANGED
@@ -374,6 +374,26 @@ dataset_info:
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  num_examples: 1000000
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  download_size: 48913285349
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  dataset_size: 49795761820.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Procgen Benchmark
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  This dataset contains expert trajectories generated by a [PPO](https://arxiv.org/abs/1707.06347) reinforcement learning agent trained on each of the 16 procedurally-generated gym environments from the [Procgen Benchmark](https://openai.com/index/procgen-benchmark/). The environments were created on `distribution_mode=easy` and with unlimited levels.
 
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  num_examples: 1000000
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  download_size: 48913285349
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  dataset_size: 49795761820.0
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+ - config_name: maze
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+ features:
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+ - name: observation
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+ dtype:
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+ image:
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+ mode: RGB
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+ - name: action
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+ dtype: int32
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+ - name: reward
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+ dtype: float32
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+ - name: terminated
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+ dtype: bool
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+ - name: truncated
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+ dtype: bool
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+ splits:
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+ - name: train
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+ num_bytes: 49413045787.0
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+ num_examples: 9000000
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+ download_size: 34989338837
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+ dataset_size: 49413045787.0
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  ---
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  # Procgen Benchmark
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  This dataset contains expert trajectories generated by a [PPO](https://arxiv.org/abs/1707.06347) reinforcement learning agent trained on each of the 16 procedurally-generated gym environments from the [Procgen Benchmark](https://openai.com/index/procgen-benchmark/). The environments were created on `distribution_mode=easy` and with unlimited levels.
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