An elegant PyTorch deep reinforcement learning library.
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High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
IAM Least Privilege Policy Generator
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more).
Scalable, event-driven, deep-learning-friendly backtesting library
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
A curated list of Monte Carlo tree search papers with implementations.
Reproduction of SuperMimic (arXiv:2610.28480): learned differentiable world model + BPTT policy for G1 humanoid motion tracking, on mjlab/MuJoCo Warp
Tamper-evident tracing, policy gates and cross-checks for AI agents: see what the agent did, and why.
[LIBERO-MAX] A paired benchmark for robot-policy robustness to controlled changes introduced during execution.
Official repository for the paper “RSIPO: Recursive Self-Improving Policy Optimization for Agentic Reinforcement Learning via Skill-Policy Co-Evolution”
[Tech Report] Simplifying and Improving On-Policy Distillation for Few-step Diffusion
Trading Environment(OpenAI Gym) + PPO(TensorForce)
LoopWAM: Closed-Loop Generalist Policy Improvement from Deployment Rollouts
Offline evidence-policy checker for PandaSI.
Practical security policy enforcement for Android apps via bytecode rewriting and in-place reference monitor
An auth policy for the Pyramid Web Framework with sane defaults.
Authentication policy for pyramid using repoze.who 2.0 API
LDAP authentication policy for Pyramid
An execution policy for pyramid that handles retryable errors.