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We present Tianshou, a highly modularized python library for deep reinforcement learning (DRL) that uses PyTorch as its backend. ... Tianshou provides a flexible, reliable, yet simple implementation of a modular DRL library, and has supported more than 20 classic algorithms succinctly through a unified interface. ... Acknowledgments We thank Haosheng Zou for his pioneering work of TensorFlow-based Tianshou before version 0.1.1. ...arXiv:2107.14171v2 fatcat:wutwzwu4dnfptaf2dgqsg2fto4
This paper surveys the modern Deep Reinforcement Learning methods and discusses their possible applications in Character Animation, from skeletal control of a single, physically-based character to navigation ... Reinforcement Learning is an area of Machine Learning focused on how agents can be trained to make sequential decisions, and achieve a particular goal within an arbitrary environment. ... During this process, the agent progressively trains its own controller module, which in the case of Deep Reinforcement Learning (DRL) is represented by a deep neural network. ...arXiv:2203.04735v1 fatcat:usnqama2frfwxijpctt6bipivu
highly negative emotion and 7 meant a highly positive emotion. ... The works of  ,  proposed a GAN-based reinforcement learning model to directly learn the filters in a proper sequence with suitable parameters. ... This work is licensed under a Creative Commons Attribution 4.0 License. ...doi:10.1109/access.2021.3083075 fatcat:zukn4uhlinejjdubdezsdghh5i