PyTorch 实现了软演员-批判和优先体验重放(PER)+ 强调近期体验(ERE)+ 孟乔森 RL + D2RL 及并行环境。

d2rl 开源项目推荐(7 个)
d2rl 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 全部 7
GitHub 共 7 个仓库,已全部展示PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2RL which can be added to D4PG to improve its performance.
Pytorch implementation of large network design in continous control RL.
Durham University, Dissertation: 1st - 92. Additional Materials and Codebase for the paper: Combining Recent Advances in Reinforcement Learning for Super Mario Bros. - Recurrent Replay Deeper Denser Distributed DQN+ (R2D4+).
Disregard. I hadn't realized this had already been fixed by dimentio in a previous D2RLoader update.
PyTorch implementation of Twin Delayed Deep Deterministic Policy Gradient (TD3) - including additional Extension to improve the algorithm's performance.
Windows installer for D2RLoader, a mod loader for Diablo II: Resurrected. Finds the game, downloads and verifies the files, updates, and uninstalls.
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 7 个项目;原始页面见 https://github.com/topics/d2rl。
- 该话题在 GitHub 上共有 7 个仓库, 本站收录的是其中最热门的 7 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 7 个项目累计 348 Star,覆盖 2 种主要语言,数据更新于 2026-11-11。
- 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。