How to contribute to rllab ? about rllab HOT 6 OPEN

This is great! Here are some possibilities:

1. Implement new algorithms. This could include:
   • DQN
   • Double Q-learning
   • Normalized Advantage Function
   • Pseudocount
   • STRAW
2. Implement new backends. Currently rllab supports Theano and Tensorflow, and you could try adding support for other backends, such as MxNet, Chainer, etc.

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If you meant DDPG it's supported here:

https://github.com/openai/rllab/blob/master/rllab/algos/ddpg.py

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Thank you so much. I'll start with implementing new algorithms.

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Wait...is Actor-Critic already supported or are we able to contribute to it?

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Hi @dementrock,

May I ask you an update on this?

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Can you be more specific about what you'd like an update on?

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