Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains 34 Models!
-
Updated
Jun 12, 2024 - Lua
Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains 34 Models!
📦 RL for mobile service robots navigation
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Open-source simulator for autonomous driving research.
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
Godpeny Github Page :)
Deep Learning with PyTorch
Reinforcement Learning Agents in .NET
Multiagent deep reinforcement learning research project
This my 3d printed robot arm project
Accelerated minigrid environments with JAX
implementation of a Deep Mind's Deep Q-Network with a twist of using prioritized replay memory over the original replay memory. The implementation includes a custom Tetris environment and a Deep Q-Network using Libtorch.
Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, BEiT, Swin Transformer, Segformer, etc. Models built with Note are compatible with TensorFlow and can be trained with TensorFlow.
A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
Artificial intelligence for the Snake game.
TD3 reinforcement learning algorithm using libtorch in simple environment
A PyTorch library for deep reinforcement learning
Autonomous Driving W/ Deep Reinforcement Learning in 3D environment
Algorithms to solve the DSSE environment, focusing on optimizing drone swarm search and navigation for critical applications.
Add a description, image, and links to the deep-reinforcement-learning topic page so that developers can more easily learn about it.
To associate your repository with the deep-reinforcement-learning topic, visit your repo's landing page and select "manage topics."