策略改进(actor更新): 最大化\mathbb{E}_{s \sim \mathcal{B}, a \sim \pi{\phi}}[Q_{\theta}(s, a) - \alpha \log \pi_{\phi}(a|s)]. IV. DSAC WITH THREE REFINEMENTS (DSAC-T) A. 期望值替代 标准DSAC算法中,critic更新梯度包含两部分: 均值相关梯度:-\frac{y_z - Q_{\theta...
智能驾驶课题组(iDLab)提出一种可减少过估计的Distributional Soft Actor-Critic(DSAC)算法,通过学习连续状态-动作回报分布(state-action return distribution)来动态调节Q值的更新过程,并证明引入该分布降低过估计的原理。本文基于异步并行计算框架PABAL来实施DSAC算法,Mujoco环境的验证表明:相比于目前最流行的强化学习算法...
开启强化学习新篇章——Distributional Soft Actor-Critic with Three Refinements 前景概述 近年来,强化学习(Reinforcement Learning, RL)领域取得了显著的进展,成为了人工智能研究的热点领域。其中,RL的策略性能评估过程中常遇到的一个关键问题是过估计(over-estimation)现象,这种现象导致了策略评估的不准确性,从而严重影响...
critic method based on conservative Q-learning (CQL), that mitigates the distributional shift problem by suppressing Q-value over-estimation during training... YZ Bayramolu,E Erzin,TM Sezgin,... 被引量: 0发表: 2021年 Distributional Soft Actor Critic for Risk Sensitive Learning Most of reinforcem...
In this paper, we introduce the minimax formulation and distributional framework to improve the generalization ability of RL algorithms and develop the Minimax Distributional Soft Actor-Critic (Minimax DSAC) algorithm. Minimax formulation aims to seek optimal policy considering the most serious ...
Distributional Soft Actor-Critic with Three Refinements (DSAC-T) Requires Windows 7 or greater or Linux. Python 3.8. The installation path must be in English. Installation #Please make sure not to include Chinese characters in the installation path, as it may result in a failed execution.#clon...
Distributional Soft Actor-Critic with Three Refinements (DSAC-T) Requires Windows 7 or greater or Linux. Python 3.8. The installation path must be in English. Installation # Please make sure not to include Chinese characters in the installation path, as it may result in a failed execution. #...
DSAC; Distributional Soft Actor-Critic. Contribute to Jingliang-Duan/DSAC-v1 development by creating an account on GitHub.