rltools-neural-network

1

chuongdlb

Custom neural network architectures in rl-tools — Dense, GRU, sample_and_squash layers, MLP/Sequential models, activation functions, optimizers, compile-time shapes.

rltools-build

1

chuongdlb

CMake build system configuration for rl-tools — tiered targets (Core/Backend/Minimal/RLtools), backend auto-detection, embedded platform builds.

rltools-environment

1

chuongdlb

Create custom RL environments for rl-tools C++17 — 3-file structure (env header, operations_generic, operations_cpu), JSON serialization, UI render.