Challenging Memory-based Deep Reinforcement Learning Agents
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Updated
May 20, 2024 - Python
Challenging Memory-based Deep Reinforcement Learning Agents
Recent projects, mainly focused around machine learning.
Open-source simulator for autonomous driving research.
Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains 34 Models!
Intelligent Social Systems and Swarm Robotics Lab (IS3R)
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.
Reinforcement learning algorithms
Godpeny Github Page :)
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.
Jailbreaking Aligned LLMs with ArtPrompt
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
(Yet another) Reinforcement Learning repository that aims to implement and benchmark various RL algorithms
An offline deep reinforcement learning library
Algorithms to solve the DSSE environment, focusing on optimizing drone swarm search and navigation for critical applications.
Unlock deep learning's secrets! Dive into fundamentals, master advanced techniques, and ignite creativity with hands-on projects. Join a vibrant community, push boundaries, and unleash AI's full potential. Begin your journey now!
A work-in-progress World of Warcraft Reinforcement Learning tool capable of finding optimal control policies for mythic+ speedruns.
Python library for Reinforcement Learning.
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
Optimize traffic flow at intersections with a Deep Q-Learning agent. Utilizes reinforcement learning to control traffic signals efficiently.
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