Popular GitHub Repositories for Atst Walker

32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

This repo includes the official implementations of "Fine-tune the pretrained ATST model for sound event detection".

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Trains an agent with Twin Delayed Deep Deterministic Policy Gradient (TD3) to solve the Bipedal Walker challenge from OpenAI

Implement RL algorithms in PyTorch and test on Gym environments.

Unity Environments based on ML-agents for the Walker agent to perform various locomotion behaviors using reinforcement learning

Proyecto de entrenamiento de modelos de IA con aprendizaje por refuerzo (reinforcement learning) en Unity. Corresponde al trabajo práctico grupal de la materia INTELIGENCIA ARTIFICIAL (9525) de la Facultad de Ingeniería de la Universidad de Buenos Aires. Link a la demo (el comportamiento de los agentes puede verse afectado de forma negativa):

Concept and development of a walking AT-ST Walker (Starwars) ML-agent.

Q-Learning, Actor-Critics, Proximal-Policy Optimization reinforcement learning algorithms in bipedal walker-v2 environment

his repository contains an implementation of the Proximal Policy Optimization (PPO) algorithm to solve the BipedalWalker-v3 environment from the Gymnasium library. This project uses a combination of policy and value networks to learn a policy for controlling a bipedal walker.

PPO for Bipedal Walker

It is allowed to detect the face by the sound .In order to avoid the negotiation , it provides a secure application