OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
exploration-exploitation 开源项目推荐(75 个)
exploration-exploitation 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 75 个仓库Classic papers and resources on recommendation
为了深度RL和人工智能的未来。
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
Python implementations of contextual bandits algorithms
A curated list of awesome exploration RL resources (continually updated)
Code to reproduce the experiments in Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation (MEEE).
Q-Learning Swarm Foraging 2026: Multi-Agent RL in Dynamic Grid Environments
This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL
Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL
The official code release for "Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning", ICLR 2025
Personalized and Interactive Music Recommendation with Bandit approach
The official code release for Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo, ICLR 2024.
Repository Containing Comparison of two methods for dealing with Exploration-Exploitation dilemma for MultiArmed Bandits
A short implementation of bandit algorithms - ETC, UCB, MOSS and KL-UCB
Focuses on Reinforcement Learning related concepts, use cases, and learning approaches
该项目在 GitHub 上没有填写描述
Official implementation of LECO (NeurIPS'22)
Deep Intrinsically Motivated Exploration in Continuous Control
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/exploration-exploitation。
- 该话题在 GitHub 上共有 75 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1.2 万 Star,覆盖 4 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。