Popular GitHub Repositories for Deterministic

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

A PyTorch library for building deep reinforcement learning agents.

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

Providing reproducibility in deep learning frameworks

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

Implementation of algorithms for continuous control (DDPG and NAF).

Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

DeTerministic Virtual Machine with SmartCogent.

Mapless Collision Avoidance of Turtlebot3 Mobile Robot Using DDPG and Prioritized Experience Replay

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.

A Pytorch DQN and DDPG implementation for a smart home energy management system under varying electricity price.

Python library for the instruction and reliable validation of structured outputs (JSON) of Large Language Models (LLMs) with Ollama and Pydantic. -> Deterministic work with LLMs.