itsluckysharma01/RL-based_Adaptive_Game_Difficulty_Engine

This repository contains an implementation of a 🏗️Reinforcement Learning (RL)🏗️ based adaptive game difficulty engine. The engine dynamically adjusts the difficulty level of a game based on the player's performance, providing a more engaging and personalized gaming experience.

21
/ 100
Experimental
No Package No Dependents
Maintenance 10 / 25
Adoption 2 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

2

Forks

—

Language

Python

License

MIT

Category

diffusion-rlhf-alignment

Last pushed

Feb 17, 2026

Commits (30d)

0

GitHub
Diffusion RLHF Alignment · 53 models

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/itsluckysharma01/RL-based_Adaptive_Game_Difficulty_Engine"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

FlorianFuerrutter/genQC

Generative Quantum Circuits

72

horseee/DeepCache

[CVPR 2024] DeepCache: Accelerating Diffusion Models for Free

63

Gen-Verse/MMaDA

MMaDA - Open-Sourced Multimodal Large Diffusion Language Models (dLLMs with block diffusion,...

51

kuleshov-group/mdlm

[NeurIPS 2024] Simple and Effective Masked Diffusion Language Model

49

Shark-NLP/DiffuSeq

[ICLR'23] DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models

47

Explore Diffusion Models

All categories Trending Diffusion directory Insights