ppo-algorithm

AI-powered production line optimization using reinforcement learning (PPO).

Stable Baselines3

Vision-free robotic pick-and-place using a 7-DOF Franka Panda in MuJoCo, combining PPO for high-level joint-position control with PID for low-level torque control. Includes curriculum learning, reward shaping, randomized object placement, and comparison with IK+PID.

Multi-modal RL trading agent (CNN + PPO) integrating market prices, macroeconomic indicators, and news signals . MSc dissertation artefact.

This is a project for PPO S&P 500 trading

An exploratory 2-week project into Reinforcement Learning and the PPO algorithm

End-to-end safe robot navigation in crowds using ROS2. Chains LiDAR-based pedestrian detection (DR-SPAAM), SORT tracking, Gumbel Social Transformer trajectory prediction with conformal uncertainty bounds, and a PPO-Lagrangian constrained RL policy for safety-aware velocity control.

A specialized Reinforcement Learning (RL) project focused on multi-task mastery across 10 distinct gaming environments. General-Gamer-AI-Lite implements a lightweight multi-task agent designed to learn shared representations and transfer knowledge between varied game mechanics, from classic arcade challenges to strategic grid worlds.

ClimatePredictor implemented by using Proximal policy optimization (PPO) with ray framework for the FederatedLearning approach

Reinforcement learning–based controller for balancing an inverted pendulum using Proximal Policy Optimization (PPO). Supports configurable mass, length, and gravity settings (Earth, lunar, microgravity) with automated training logs, reward visualization, and performance analysis.

This repository is dedicated to implementing algorithms "From Scratch". It goes beyond simple API calls, diving deep into the underlying logic of everything from basic training to cutting-edge techniques like DeepSeek-R1.

Среда робота-уборщика на базе Gymnasium с обучением через s-b3 PPO

This repository implements a Proximal Policy Optimization (PPO) agent that learns to play Super Mario Bros using TensorFlow/Keras and OpenAI Gym. Features CNNs for vision, Actor-Critic architecture, and parallel environments. Train your own Mario master or run a pre-trained one!

Autonomous driving system using PPO-based Reinforcement Learning and CARLA Simulator for lane following and navigation.

2D orbital rocket sim with PPO in PyTorch. Models thrust, drag, gravity, fuel; agent learns efficient ascent. Includes telemetry & visualization

Autonomous Orbital Rendezvous & Docking using PPO + High-Fidelity Clohessy-Wiltshire Dynamics with Realistic Perturbations (NRLMSISE-00 Drag, J2, SRP, Thruster & Sensor Noise)

AI-driven robotic arm simulator trained with PPO Reinforcement Learning, featuring a real-time web telemetry dashboard.

12-DOF Unitree Go1 quadruped locomotion via custom PPO in MuJoCo — trained 6M+ timesteps to stable trotting at 0.6 m/s from scratch

Gridworld problem with dynamic obstacles implemented in PyGame GUI and solved using traditional RL agent (Q-learning) and deep RL agent (PPO algorithm).