This is the Windows app named ELF (Extensive Lightweight Framework) whose latest release can be downloaded as ELFsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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- 6. Descărcați aplicația și instalați-o.
- 7. Descărcați Wine din depozitele de software ale distribuțiilor Linux. Odată instalat, puteți apoi să faceți dublu clic pe aplicație pentru a le rula cu Wine. De asemenea, puteți încerca PlayOnLinux, o interfață elegantă peste Wine, care vă va ajuta să instalați programe și jocuri populare Windows.
Wine este o modalitate de a rula software-ul Windows pe Linux, dar fără a fi necesar Windows. Wine este un strat de compatibilitate Windows open-source care poate rula programe Windows direct pe orice desktop Linux. În esență, Wine încearcă să reimplementeze suficient Windows de la zero, astfel încât să poată rula toate acele aplicații Windows fără a avea nevoie efectiv de Windows.
SCREENSHOTS
Ad
ELF (Cadru ușor extins)
DESCRIERE
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.
Categorii
- 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
Limbaj de programare
C ++
Categorii
This is an application that can also be fetched from https://sourceforge.net/projects/elf.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
