deep-rl-grasping:训练用于机器人掌握的深度强化学习模型。 从不同的感知层中选择原始深度，RGBD和自动编码器。 在不同的场景和对象数据集中测试学习的模型 （159个子文件） 
log_file.monitor.csv 12.12MB log_file.monitor.csv 10.7MB logs.csv 7.22MB logs.full.csv 6.39MB log_file.monitor.csv 3.99MB log_file.monitor.csv 3.95MB log_file.monitor.csv 3.76MB log_file.monitor.csv 3.37MB log_file.monitor.csv 2.26MB log_file.monitor.csv 2.11MB logs.csv 2.04MB logs.full.csv 1.34MB logs.csv 46KB history.csv 6KB history.csv 6KB history.csv 6KB history.csv 6KB .gitignore 2KB .gitmodules 85B model.h5 1.87MB model.h5 1.87MB model.h5 1.87MB model.h5 1.87MB Icon_ 0B Icon_ 0B Icon_ 0B README.md 4KB LICENSE.md 1KB table.mtl 247B evaluations.npz 26KB evaluations.npz 23KB evaluations.npz 13KB evaluations.npz 13KB evaluations.npz 11KB evaluations.npz 11KB evaluations.npz 8KB evaluations.npz 4KB cylinder.obj 7KB circular_segment.obj 4KB cuboid1.obj 1KB cuboid0.obj 1KB cube.obj 1KB table.obj 841B triangle.obj 824B plane100.obj 365B plane.obj 348B
history.pdf 15KB vecnormalize.pkl 607KB vecnormalize.pkl 607KB vecnormalize.pkl 247KB vecnormalize.pkl 247KB vecnormalize.pkl 247KB vecnormalize.pkl 247KB vecnormalize.pkl 10KB vecnormalize.pkl 10KB
table.png 847KB reconstructions.png 97KB reconstructions.png 89KB reconstructions.png 87KB transformations.py 57KB sb_helper.py 12KB robot.py 12KB base_callbacks.py 10KB sensor.py 8KB plot_shaded.py 7KB actuator.py 6KB train_stable_baselines.py 5KB simulation.py 5KB rewards.py 5KB encoders.py 5KB train_encoder.py 5KB test_sim.py 4KB collect_dataset.py 4KB curriculum.py 3KB model.py 3KB transform_utils.py 3KB utils.py 3KB plot.py 2KB scene.py 2KB wrapper.py 2KB base_scene.py 2KB custom_obs_policy.py 2KB camera_utils.py 1KB io_utils.py 1KB debug_scene.py 1KB slider_agent.py 636B setup.py 486B random_agent.py 271B __init__.py 143B agent.py 91B __init__.py 56B __init__.py 25B __init__.py 0B __init__.py 0B __init__.py 0B __init__.py 0B wsg50_one_motor_gripper_new.sdf 13KB setup.sh 81B WSG-FMF.stl 106KB GUIDE_WSG50_110.stl 23KB共 159 条
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