This is the Linux app named Recursive Language Models whose latest release can be downloaded as Depth_1support,compactionwithoffloadedhistorysourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Recursive Language Models with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
SCREENSHOTS:
Recursive Language Models
DESCRIPTION:
RLM (short for Reinforcement Learning Models) is a modular framework that makes it easier to build, train, evaluate, and deploy reinforcement learning (RL) agents across a wide range of environments and tasks. It provides a consistent API that abstracts away many of the repetitive engineering patterns in RL research and application work, letting developers focus on modeling, experimentation, and fine-tuning rather than infrastructure plumbing. Within the framework, you can define custom agents, environments, policy networks, and reward structures while leveraging built-in dataset utilities, logging, and checkpointing for reproducible experiments. RLM also includes integration with popular simulation environments and benchmark suites, giving researchers a ready-made playground for algorithm comparison and performance tracking.
Features
- Unified API for defining and running reinforcement learning agents
- Modular components for composable pipelines
- Integrations with benchmark environments and simulators
- Support for distributed and multi-GPU training
- Built-in logging, checkpointing, and evaluation tools
- Configurable reward, policy, and replay buffer abstractions
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/recursive-lang-models.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.