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In this example https://github.com/keras-team/keras-io/blob/master/examples/rl/actor_critic_cartpole.py, the gradient for the actor is defined as the gradient of loss $L = \sum \ln\pi (reward-value)$.…
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Hi,
I came across your paper and had some doubts. My goal is to use your results and analysis to train discrete SAC for parallel minigrid environments.
In `train_pql.py`, you have variables like…
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Hello guys, I wonder if there is a way to train the Actor Critic algorithms in an off-policy manner, as in the paper [Sample Efficient Actor-Critic with Experience Replay](https://arxiv.org/abs/1611.0…
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## 概要
soft actor critcを実装する
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I have the same problem as in first floor
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## Abstract
- Present training NN to generate sequences using actor-critic method from RL
- Introduce **critic** network that is trained to predict the value of an output token, given the policy of …
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Hello,
Correct me if I'm wrong, I'm under the impression that the critic and the actor share the same hidden layers in the tutorial notebook, why that constraint?
Thanks
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Hello, I'd like to understand how to use the "Actor_MIP" class in the provided code. This part is mentioned as a highlight in your paper, but it seems that the class is not called or utilized in the c…