A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar.
基于mapping.txt文件，根据原始class名或方法名获取混淆后的class名或方法名，根据混淆后的class名或方法名获取原始class名或方法名，堆栈还原等
An Intellij IDEA and Android Studio Plugin to de-obfuscate your Proguard stack traces
Official code release for ICLR23 "Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning"
Deep reinforcement learning framework for fast prototyping based on PyTorch
High-performance Triton kernels for reinforcement learning credit assignment
The Maze Solver program uses a backtracking algorithm to determine if a mouse can escape from a maze. It systematically tries all routes through the maze and retraces back its path when it reaches a dead end. If all routes are exhausted, the program determines that the mouse is trapped.
Homebrew tap for the Retrace CLI — brew install retrace-cli (macOS, Linux, WSL).
DeepSeek Harness 会话时光机（fork）：消息撤回/编辑重发/重新生成 + 产物版本化，适配 DSH 0.1.5+ 与插件服务机制
To associate your repository with the retrace topic, visit your repo's landing page and select "manage topics."