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Hi,
I know this is more of a technicality, but I would like to clarify this.
A3C stands for Asynchronous Advantage Actor-Critic, whereas A2C can also be considered as a synchronous version [Ope…
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experiments so far have demonstrated that REINFORCE policy gradient by itself is not enough to implement metalearning. Based on work in https://arxiv.org/abs/1611.05763, it seems like both a policy an…
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*Ray version and other system information (Python version, TensorFlow version, OS):*
- Ray: [0.8.5 (02c1ab0ec6d615ad54ebf33bd93c51c04000534e)](https://s3-us-west-2.amazonaws.com/ray-wheels/releas…
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As mentioned in the WM reading telecons, we did clustering over a subset of the P3 documents that MITRE/TwoSix recently shared. @jmacbrid from BBN, who recently joined our Hume team, went over those c…
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Hi, 老兄,又来请教一番,哈哈。
我注意到在coma中q_next_target的计算,有点不太理解,为啥这么计算。
282 q_evals = torch.gather(q_evals, dim=3, index=u).squeeze(3)
283 q_next_target = torch.gather(q_next_target, dim=3, ind…
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Implement A2C for Atari / Doom games. Inspiration [here](https://www.coursera.org/lecture/practical-rl/advantage-actor-critic-dya16) and [here](https://www.freecodecamp.org/news/an-intro-to-advantage-…
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Dear Author,
I take a fast look at your code on actor updates. It seems that you have use advantage soft actor critic, i.e.,
Advantage: `pol_target = q - v`
loss: `pol_loss = (log_pi * (log_pi /…
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Hi,
I am trying to train LSTM PPO on Hopper-v3 but it did not learn well.
Although LSTM policy is hard to learn compared to FF policy, it seems there are several missing pieces to train them.
Cou…
jd730 updated
4 years ago
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### What is the problem?
I'm working with SAC and want to add a new field to `train_batch` in the same way as it is done in the [PPO advantage example](https://docs.ray.io/en/latest/rllib-concept…
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Hi,
I have a question about the particular implementation of duckietown Critic (Actor-Critic DDPG).
Could you please explain the intuition behind the idea why Critic gets **action input** only a…