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Update README
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@@ -8,7 +8,7 @@ Implemented algorithms:
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* Synchronous Advantage Actor Critic (A2C)
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* Synchronous Advantage Actor Critic (A2C)
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* Synchronous N-Step Q-Learning
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* Synchronous N-Step Q-Learning
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* Deep Deterministic Policy Gradient (DDPG)
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* Deep Deterministic Policy Gradient (DDPG)
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* Synchronous Proximal Policy Optimization (PPO)
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* (Continuous/Discrete) Synchronous Proximal Policy Optimization (PPO)
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* Action Conditional Video Prediction
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* Action Conditional Video Prediction
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Asynchronous algorithms below are removed in this repo but can be found in [the previous release](https://github.com/ShangtongZhang/DeepRL/releases/tag/v0.1)
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Asynchronous algorithms below are removed in this repo but can be found in [the previous release](https://github.com/ShangtongZhang/DeepRL/releases/tag/v0.1)
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@@ -42,6 +42,7 @@ Asynchronous algorithms below are removed in this repo but can be found in [the
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## PPO
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## PPO
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## Action Conditional Video Prediction
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## Action Conditional Video Prediction
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@@ -338,11 +338,12 @@ def plot():
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# 'dqn_pixel_atari-180407-01414',
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# 'dqn_pixel_atari-180407-01414',
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# 'quantile_regression_dqn_pixel_atari-180407-01604',
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# 'quantile_regression_dqn_pixel_atari-180407-01604',
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# 'n_step_dqn_pixel_atari-180408-001104',
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# 'n_step_dqn_pixel_atari-180408-001104',
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'ppo_continuous-180408-002056',
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# 'ppo_continuous-180408-002056',
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'ddpg_continuous-180407-234141'
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# 'ddpg_continuous-180407-234141'
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'ppo_pixel_atari-180410-235529',
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]
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]
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for name in names:
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for name in names:
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plotter.plot_results(['to_plot/%s' % (name)])
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plotter.plot_results(['to_plot/%s' % (name)], title='BreakoutNoFrameskip-v4')
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plt.savefig('images/%s.png' % (name))
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plt.savefig('images/%s.png' % (name))
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plt.close()
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plt.close()
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