An all-in-one project for humanoid robots from locomotion to motion tracking.
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Updated
Sep 10, 2025 - Python
An all-in-one project for humanoid robots from locomotion to motion tracking.
Contains information links, articles, research papers, tweets, blog posts, companies etc and everything which is even minutely related to the field of Artificial Intelligence, Distributed Computing, Quantum Computing and Physics, Evolutionary Biology, Crypto-currency, Virual and Augmented Reality etc.
Reinforcement Learning for Fault-Tolerant Quantum Circuit Discovery
Research Project in collaboration with BlockHouse
강화학습을 이용한 주가 예측 AI
Teleoperation solutions for UFACTORY robotic arms like Lite 6, xArm 5/6/7 and 850
[ICMLA' 2022] IGN : Implicit Generative Networks
This service is designed to centralize and streamline communication between an agent in reinforcement learning and services on Kind Kubernetes, thereby preventing circular dependencies in software architecture, and making maintenance easier.
This repo is an adaptation of UC Berkeley's project and focuses on developing search algorithms and reinforcement learning techniques for artificial agents. The code covers related topics and can be used for further exploration in the field of AI.
🚖 A hybrid Machine Learning + Reinforcement Learning project that predicts dynamic ride pricing. Combines historical ride data (ML) with a Q-learning agent (RL) to recommend fair, adaptive prices based on demand, supply, and customer loyalty.
This is repository for GOAT experiments on multi agent overcooked environment.
A research sandbox for LLM pretraining, fine-tuning (SFT, DPO, RLHF), and alignment techniques. Designed for developing LLM-based solutions in computational biology.
This is a GYM environment for the PySuperTuxKart game. It is designed for Reinforcement Learning (RL) applications, particularly for educational purposes. The repository also includes examples of using this environment with Stable Baselines 3 (SB3)'s PPO algorithm.
Implementation of early deep reinforcement learning algorithms such as Vanilla DQN, Double DQN, and Dueling DQN.
Experience gaming evolution with Autonomous PacBot: a Reinforcement Learning-powered Pacman agent.
Simulator to evaluate classical and RL-based policies for controlling elevators.
Code associated with the paper "Ego Networks"
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