Shangtong Zhang
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9615195f5e
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Upgrade to PyTorch v0.2.0
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2017-10-28 11:06:20 -06:00 |
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Shangtong Zhang
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a59f2d2911
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Benchmark DDPG with Roboschool
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2017-10-27 23:09:24 -06:00 |
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Shangtong Zhang
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6682937b54
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Support python3 and pytorch 0.2
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2017-10-26 23:01:57 -06:00 |
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Shangtong Zhang
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3ed6f2a9db
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Log wall time
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2017-10-14 16:38:51 -06:00 |
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Shangtong Zhang
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51f125c01e
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Improve normalizer for scalar
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2017-10-07 21:23:02 -06:00 |
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Shangtong Zhang
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fae9a85f31
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Major update
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2017-10-06 22:10:44 -06:00 |
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Shangtong Zhang
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c5cbc10f94
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Refactor DDPG
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2017-10-06 11:16:21 -06:00 |
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Shangtong Zhang
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8b9fd8d24f
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Code cleanup
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2017-10-05 21:42:27 -06:00 |
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Shangtong Zhang
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dd2443c1c3
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DPPO
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2017-10-05 21:40:42 -06:00 |
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Shangtong Zhang
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e58938e3fe
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Support async PPO, which doesn't work
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2017-10-04 22:33:26 -06:00 |
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Shangtong Zhang
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c773da7d08
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Support shared stats for continuous A3C
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2017-10-04 20:58:42 -06:00 |
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Shangtong Zhang
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d52182882a
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Implementation of hybrid reward architecture
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2017-08-29 21:52:26 -06:00 |
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Shangtong Zhang
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5116733f22
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DDPG Pendulum
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2017-08-01 10:52:14 -06:00 |
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Shangtong Zhang
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1be3b44999
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Continuous A3C
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2017-07-31 22:53:09 -06:00 |
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Shangtong Zhang
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ce504e2d0f
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Major refactor
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2017-07-26 18:18:49 -06:00 |
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