Changelog¶

All notable changes to the netforge_rl project will be documented in this file. The format is based on Keep a Changelog.

[2.1.0] — 2026-06¶

Environment: Added TopologyEventEngine to netforge_rl/environment/parallel_env.py to support dynamic topologies.
Environment: Implemented curriculum learning framework.
Training: Added RLlib integration and RMAPPO vs RMAPPO baseline.

Core: Fixed decoy recon replacing hosts, static action mask issues, and stale DHCP targeting.

Core: Added netforge_rl/core/functional.py implementing a pure EnvState interpreter.
JAX Backend: Added netforge_rl/backends/jax/ providing vectorized kernels and batched step execution for high-throughput training.
Bridges: Added JaxMARL environment adapter and dlpack support for zero-copy array conversion.
Rendering: Implemented decoupled rendering pipeline in netforge_rl/render/.
Baselines: Added heuristic evaluation policies and a PPO implementation for the JaxMARL backend.
Semantic Interface: Added netforge_rl/semantic/ for language-model-based agent interaction and LLM fine-tuning.
Notebooks: Added 7 reference notebooks for quickstart, visualization, and RL training.
Tests: Expanded test suite to 173 tests, including deterministic trajectory hashing.

Increased maximum parallel throughput to >1M steps-per-second via JAX vectorization.