Update README

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Shangtong Zhang
2017-07-19 23:19:11 -06:00
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@@ -11,6 +11,7 @@ Implemented algorithms:
* Async One-Step Q-Learning
* Async One-Step Sarsa
* Async N-Step Q-Learning
* Deep Deterministic Policy Gradient (DDPG)
# Curves
> Curves for CartPole are trivial so I didn't place it here.
@@ -50,5 +51,8 @@ Detailed usage and all training details can be found in ```main.py```
* [Dueling Network Architectures for Deep Reinforcement Learning](https://arxiv.org/abs/1511.06581)
* [Playing Atari with Deep Reinforcement Learning](https://arxiv.org/abs/1312.5602)
* [HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent](https://arxiv.org/abs/1106.5730)
* [Deterministic Policy Gradient Algorithms](http://proceedings.mlr.press/v32/silver14.pdf)
* [Continuous control with deep reinforcement learning](https://arxiv.org/abs/1509.02971)
* [transedward/pytorch-dqn](https://github.com/transedward/pytorch-dqn)
* [ikostrikov/pytorch-a3c](https://github.com/ikostrikov/pytorch-a3c)
* [ghliu/pytorch-ddpg](https://github.com/ghliu/pytorch-ddpg)