actor-critic

Multi-agent Deep Deterministic Policy Gradient

Maximum Entropy Reinforcement Learning via Soft Q-learning & Soft Actor-Critic

Notes on Entropy-Regularized Reinforcement Learning via SQL & SAC ...

Deterministic Policy Gradients

The generalization of policy gradient theorems into deterministic case and corresponding policy gradient algorithms. ...

Policy Gradient Theorem

So far in the series, we have been choosing the actions based on the estimated action value function. On the other hand, we can instead learn a parameterized policy, $\boldsymbol{\theta}$, that can select actions without consulting a value function by updating $\boldsymbol{\theta}$ on each step in the direction of an estimate of the gradient of some performance measure w.r.t $\boldsymbol{\theta}$. Such methods are called policy gradient methods. ...