repo for learning reinforcement learning from scratch
A grid-like environment (multi-agent system) used by an intelligent agent (or more than one agent) in order for it/them to carry the orbs to the pits in a limited number of movements.
Implementation of RL concepts in simplified way!
This repository hosts Jupyter notebooks showcasing the training of Atari games using a variety of Deep Reinforcement Learning (RL) algorithms such as Proximal Policy Optimization (PPO), Deep Deterministic Policy Gradient (DDPG), Deep Q-Networks (DQN), Advantage Actor-Critic (A2C), and more.
Godpeny Github Page :)
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, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.
Related papers for reinforcement learning, including classic papers and latest papers in top conferences
Train a tiny LLaMA model from scratch to repeat your words using Reinforcement Learning from Human Feedback (RLHF)
Deep Reinforcement Learning: Zero to Hero!
The project focuses on motion planning for a wide range of robotic structures using deep reinforcement learning (DRL) algorithms to solve the problem of reaching a static or random target within a pre-defined configuration space.
Intelligent Social Systems and Swarm Robotics Lab (IS3R)
This is a repository of AI projects that i did during my master's degree in computer science.
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains 34 Models!
Open-source simulator for autonomous driving research.
For trading. Please star.
A benchmark library for DRL-based flow control
This project uses LLMs to generate music from text by understanding prompts, creating lyrics, determining genre, and composing melodies. It harnesses LLM capabilities to create songs based on text inputs through a multi-step approach.
This project provides a comprehensive understanding of reinforcement learning, focusing on Actor Critic Algorithms. It involves exploring the OpenAI Gym library, implementing the A2C algorithm from DeepMind's seminal paper, and enhancing the A2C algorithm for improved performance and stability.
This project provides a comprehensive understanding of reinforcement learning, focusing on Deep Q-Learning (DQN). It involves exploring the OpenAI Gym library, implementing DQN from DeepMind's seminal paper, and enhancing the DQN algorithm for improved performance and stability.
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