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@@ -11,7 +11,7 @@ Implemented algorithms:
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* Synchronous Proximal Policy Optimization (PPO)
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* Action Conditional Video Prediction
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Following asynchronous algorithms are removed now in this repo but can be found in [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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* Async Advantage Actor Critic (A3C)
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* Async One-Step Q-Learning
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* Async One-Step Sarsa
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@@ -53,11 +53,11 @@ Prediction is sampled after 110K iterations, and I only implemented one-step tra
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# Dependency
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> Tested in macOS 10.12 and CentO/S 6.8
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* OpenAI gym
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* [Roboschool](https://github.com/openai/roboschool) (Optional)
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* [DeepMind Control Suite](https://github.com/deepmind/dm_control) & [DMControl2Gym](dm_control2gym) (Optional)
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* PyTorch v0.3.0
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* Python 2.7 / 3.6
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* [TensorboardX](https://github.com/lanpa/tensorboard-pytorch)
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* [Roboschool](https://github.com/openai/roboschool) (Optional)
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* [DeepMind Control Suite](https://github.com/deepmind/dm_control) & [DMControl2Gym](dm_control2gym) (Optional)
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* [TensorboardX](https://github.com/lanpa/tensorboard-pytorch) (Optional)
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# Usage
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