Large-Scale Study of Curiosity-Driven Learning Curiosity-driven Exploration by Self-supervised Prediction Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning 第三篇论文我在写毕设的绪论时,曾经调研过,来看当时怎么写的: 3、前言 为了解决RL中reward过于稀疏的问题,引入三种解决方法...
What is curiosity Curiosity is the concept of calculating additional reward for agent called intrinsic reward apart from the reward from the environment itself called extrinsic reward. There are many ideas of how to define the curiosity, but in this project the idea of Intrinsic Curiosity Module(IC...
This is a TensorFlow-based implementation for our paper "Flow-based Intrinsic Curiosity Module". FICM is used for evaluating the novelty of observations, it generates intrinsic rewards based on the prediction errors of optical flow estimation since the rapid change part in consecutive frames usually ...
OB-HPPO also introduces an intrinsic curiosity module (ICM) based on the Proximal Policy Optimization (PPO) algorithm to improve the efficiency of model training and exploration. Experimental results show that OB-HPPO takes less training time and accumulates more rewards than non-hierarchical models....
Our work reveals that although motivations such as competence and curiosity have been studied in AI, work on utilizing them in simulation-based game testing is sparse, and other motivations such as social relatedness, immersion, and domination appear particularly underexplored. 展开全部 机器翻译 ...
Curiosity Makes people act impulsively, sometimes against their self interests, linked to person's desire to know Intrinsic motives: Effectance motivation Effectance motivation: desire to become competent--drives children to crawl, walk, imitate others, engage in mastery play ...
[4]. Curiosity-based approaches, such as Intelligent Adaptive Curiosity [5], Intrinsic Curiosity Module [1], and Variational information maximizing exploration [6] aimed to learn the dynamics of the environment by predicting subsequent states. However, these methods struggled to handle stochastic ...
This experience has comforted my fierce curiosity, expanded my need for meaningful conversations and my desire for a healthy community. Being a part of this community has added more LIFE to my days and inspired me to give myself more space to just BE. I hope that more and more people will...
To show the effectiveness of the proposed MADDPG-E algorithm, two kinds of simulation experiments with a determined initial position and random initial position, respectively, are carried out, and comparisons are performed with MADDPG as well as MADDPG-ICM (MADDPG with an intrinsic curio...
git clone https://github.com/RLE-Foundation/rllte.git pip install -e. Now you can invoke the intrinsic reward module by: fromrllte.xplore.rewardimportICM,RIDE, ... Module List TypeModules Count-basedPseudoCounts,RND,E3B Curiosity-drivenICM,Disagreement,RIDE ...