minor fixed
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@ -52,6 +52,8 @@ YouQiaoben: data/Batch, implement num_timesteps, fix memory growth in num_episod
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ShihongSong: data/Replay; then adv_estimate.dqn after YongRen's DQN
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ShihongSong: data/Replay; then adv_estimate.dqn after YongRen's DQN
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HaoshengZou: collaborate mainly on Policy and losses; interfaces and architecture
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Note: install openai/gym first to run the Atari environment; note that interfaces between modules may not be finalized; the management of placeholders and `feed_dict` may have to be done manually for the time being;
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Note: install openai/gym first to run the Atari environment; note that interfaces between modules may not be finalized; the management of placeholders and `feed_dict` may have to be done manually for the time being;
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Without preprocessing and other tricks, this example will not train to any meaningful results. Codes should past two tests: individual module test and run through this example code.
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Without preprocessing and other tricks, this example will not train to any meaningful results. Codes should past two tests: individual module test and run through this example code.
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