elf extensive lightweight framework

We have hosted the application elf extensive lightweight framework in order to run this application in our online workstations with Wine or directly.

Quick description about elf extensive lightweight framework:

ELF (Extensive, Lightweight, and Flexible) is a high-performance platform for reinforcement learning research that unifies simulation, data collection, and distributed training. A C++ core provides fast environments and concurrent actors, while Python bindings expose simple APIs for agents, replay, and optimization loops. It supports both single-agent and multi-agent settings, with batched stepping and shared-memory queues that keep GPUs saturated during training. ELF introduced widely used reference systems, most notably ELF OpenGo, demonstrating at-scale self-play with strong analysis tooling and public checkpoints. Its design emphasizes reproducibility: deterministic seeds, logging, and evaluation harnesses make large-scale experiments trackable and comparable. Because the platform is modular�envs, samplers, learners, and collectors�researchers can drop in new environments or algorithms without re-architecting the pipeline.

Features:

• C++ simulation core with Python bindings for fast RL loops
• Distributed actor�learner architecture with shared-memory queues
• Support for single- and multi-agent environments and batched stepping
• Reproducible training with logging, evaluation, and checkpointing
• Reference implementations including the ELF OpenGo self-play system
• Pluggable envs, replay buffers, and learners for rapid experimentation

Programming Language: C++.
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