Questions tagged [soft-actor-critic]

For questions about Soft Actor-Critic (SAC), which was proposed in "Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor" by Tuomas Haarnoja et al.

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How to make SAC (Soft-Actor-Critic) learn a policy?

I cannot make SAC learn a task in a certain environment. The point is that it actually sometimes finds a very good policy, but it never learns the policy in the end. I am using the SAC implementation ...
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0answers
76 views

In Soft Actor Critic, why is the action sampled from current policy instead of replay buffer on value function update?

While reading the original paper of Soft Actor Critic, I came across on page number 5, under equation (5) and (6) $$ J_{V}(\psi)=\mathbb{E}_{\mathbf{s}_{t} \sim \mathcal{D}}\left[\frac{1}{2}\left(V_{\...
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1answer
169 views

Why is my Soft Actor-Critic's policy and value function losses not converging?

I'm trying to implement a soft actor-critic algorithm for financial data (stock prices), but I have trouble with losses: no matter what combination of hyper-parameters I enter, they are not converging,...
3
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1answer
161 views

Where does entropy enter in Soft Actor-Critic?

I am currently trying to understand SAC (Soft Actor-Critic), and I am thinking of it as a basic actor-critic with the entropy included. However, I expected the entropy to appear in the Q-function. ...
1
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0answers
155 views

How does the automated temperature adjustment step work in Soft Actor-Critic?

In section 5 of the paper Soft Actor-Critic Algorithms and Applications, it is proposed an optimization problem to obtain an optimal temperature parameter $\alpha^*_t$. First, one uses the original ...
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2answers
188 views

What is the gradient of the objective function in the Soft Actor-Critic paper?

In the paper Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor, they define the loss function for the policy network as $$ J_\pi(\phi)=\mathbb E_{s_t\...