haoshengzou
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fed3bf2a12
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auto target network. ppo_cartpole.py run ok. but results is different from previous version even with the same random seed, still needs debugging.
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2018-01-14 20:58:28 +08:00 |
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haoshengzou
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dfcea74fcf
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fix memory growth and slowness caused by sess.run(tf.multinomial()), now ppo examples are working OK with slight memory growth (1M/min), which still needs research
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2018-01-03 20:32:05 +08:00 |
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haoshengzou
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4333ee5d39
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ppo_cartpole.py seems to be working with param: bs128, num_ep20, max_time500; manually merged Normal from branch policy_wrapper
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2018-01-02 19:40:37 +08:00 |
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haoshengzou
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b33a141373
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towards policy/value refactor
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2017-12-23 17:25:16 +08:00 |
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Haosheng Zou
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7ab211b63c
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preliminary design of dqn_example, dqn interface. identify the assign of networks
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2017-12-13 20:47:45 +08:00 |
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rtz19970824
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0c4a83f3eb
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vanilla policy gradient
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2017-12-11 13:37:27 +08:00 |
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haosheng
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a00b930c2c
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fix naming and comments of coding style, delete .json
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2017-12-10 17:23:13 +08:00 |
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haosheng
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ff4306ddb9
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model-free rl first commit, with ppo_example.py in examples/ and task delegations in ppo_example.py and READMEs
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2017-12-08 21:09:23 +08:00 |
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