#python#gym#gym_environment#reinforcement_learning#reinforcement_learning_agent#reinforcement_learning_environments#rl_environment#rl_training
NeMo Gym helps you build and run reinforcement‑learning training environments for large language models, letting you develop, test, and collect verified rollouts separately from the training loop and integrate with your preferred RL framework and model endpoints (OpenAI, vLLM, etc.). It includes ready resource servers, datasets, and patterns for multi‑step, multi‑turn, and tool‑using scenarios, runs on a typical dev machine (no GPU required), and is early-stage with evolving APIs and docs. Benefit: you can generate high‑quality, verifiable training data faster and plug it into existing training pipelines to improve model behavior.
https://github.com/NVIDIA-NeMo/Gym
I quit my job to build a zombie extraction shooter with destructible environments and AI that react dynamically. We've made solid progress. Should I continue on this idea #PVE.
https://redd.it/1lvftfk
by @r_gifs
⚡️Gatto Official Channel: PvE Mode Prologue Released
#Gatto#PvE
The Gatto Official Channel announces the release of the PvE Prologue mode, featuring story-driven gameplay and new mechanics. This marks a significant development step, inviting players to engage deeply with the world and its untold stories. To start, head to "Battle Mode" and choose PvE.
Source: link
@tonlines
⚔️AMAZING PVE GAMEPLAY IN ORBITAU ⚔️
💠 Testnet for Orbitau will be available shortly. In order to help you prepare, here is a very attractive gameplay clip from Chapter 1 of Map Foras.
🚦 Reveal more about Orbitau's gameplay: https://blog.orbitau.io/post/amazing-pve-gameplay
💡 Be sure to stay tuned for updated information about the upcoming testnet.
⚡️ BUT FIRST, FILL YOUR WALLET WITH SUFFICIENT $TAUM TO BUY IMMORTAL EGGS THAT WILL BE ON SALE THIS MARCH 14!
#Orbitau#PvE#gameplay#ORI#TAUM
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