enlite-ai/maze
Maze Applied Reinforcement Learning Framework
Provides PyTorch-based Perception Modules for composing neural network architectures (dense, convolutional, graph, attention, recurrent) with built-in observation preprocessing and masking. Supports multi-step and multi-agent environments beyond standard Gym compatibility, alongside trainers for A2C, PPO, Impala, SAC, and Evolution Strategies with dictionary action/observation spaces. Configuration managed through Hydra, enabling imitation learning and policy fine-tuning workflows for complex industrial decision problems.
286 stars.
Stars
286
Forks
12
Language
Python
License
—
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/enlite-ai/maze"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
caelan/pddlstream
PDDLStream: Integrating Symbolic Planners and Blackbox Samplers
realkushagrakhare/3D_Path_Planning
AI project for 3D Path Planning. Other details and running instructions can be found on the...
hyperc-ai/ordered
Entropy-controlled contexts in Python
APLA-Toolbox/PythonPDDL
🧭🔍 A PDDL Planner in Python partially wrapping PDDL.jl using JuliaPy
emadehsan/maze
Generate Mazes of different types and Datasets for Deep Learning (GANs, RL)