erwincoumans
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cc34ebab25
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add humanoid and kuka gym environments (experimental)
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2017-06-14 00:54:41 -07:00 |
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Erwin Coumans
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a0ded43a69
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use cnn_to_mlp to allow training of racecar using (extremely simplified) ZED camera pixel data using OpenAI baselines.
add a red sphere to make training a bit easier for now.
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2017-06-13 18:33:32 -07:00 |
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Erwin Coumans
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ee8fd56c5e
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prepare to train racecar using ZED camera pixels (CNN+DQN)
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2017-06-13 16:04:50 -07:00 |
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Erwin Coumans
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c84416d932
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add debug view for getCameraImage (RGB, depth, segmentation mask)
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2017-06-13 10:53:24 -07:00 |
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erwincoumans
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1752aa55ca
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train_pybullet_racecar.py works, self-driving car drives towards the ball using OpenAI baselines DQN :-)
See https://www.youtube.com/watch?v=DZ5Px-ocelw for video and how-to-install.
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2017-06-10 18:46:36 -07:00 |
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Erwin Coumans
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b361722500
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Implement train_pybullet_racecar.py and enjoy_pybullet_racecar.py using OpenAI baselines DQN for the RacecarGymEnv.
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2017-06-09 19:26:07 -07:00 |
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Erwin Coumans
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0aeb4d5058
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add RacecarGymEnv as a gym experimentation environment
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2017-06-08 19:45:48 -07:00 |
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Jie Tan
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1d0db4ec2e
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update to the latest agent and environment.
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2017-05-24 11:20:42 -07:00 |
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Jie Tan
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18fd1a003f
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remove redundant and potentially confusing data
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2017-05-23 16:34:13 -07:00 |
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Jie Tan
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671c4bf10e
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add back sonnet dependency. If sonnet is not installed, fall back to simpleAgent that does not need sonnet.
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2017-05-22 20:57:18 -07:00 |
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Jie Tan
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8a6a46d180
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remove sonnet dependency
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2017-05-18 16:12:38 -07:00 |
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Jie Tan
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bf5915f44b
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add a simple DDPG agent and a policy
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2017-04-28 15:24:53 -07:00 |
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Jie Tan
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948b2b00fe
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added a policy trained by DDPG
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2017-04-28 14:34:03 -07:00 |
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Jie Tan
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8c27a62e04
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remove the stub calls from rllab
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2017-03-10 13:41:05 -08:00 |
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Jie Tan
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37a809f5d1
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added the learning algorithm from RL-lab
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2017-03-10 12:29:47 -08:00 |
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Jie Tan
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923fbe8588
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add gym examples
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2017-03-10 11:22:38 -08:00 |
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