Imptementation of some RL algorithms.

Example PPO implementation with ReLAx

Simple implementation of PPO algorithm

Implementing ppo based on openai/baselines, but more readable.

Implementation of PPO with TF 2.0 and Pyoneer.

Teaching a neural network how to write letters and digits with reinforcement learning.

Curriculum learning using rllib on gymEnv "CarRacing"

Implementation of policy based reinforcement learning algorithms

Lunar Lander Environment Analysis and Modifications [Introduction to Intelligent and Autonomous Systems Course Project]

Playing Super Mario Bros using PPO

JAX Implementation of Proximal Policy Optimisation Algorithm

java essential

AI DQN RL

This is an implementation of the PPO neural network algorithm. I created this project in order to explore the algorithm.

Final task for my Reinforcement Learning class in Deusto. The research paper discuss examples of using ML-Agents toolkit of Unity. Paper is avaible at:

Deep Reinforcement Learning Agent that learns to plays League of Legends

Project work for Autonomous and Adaptive Systems, UNIBO 2022

An implementation from the state-of-the-art family of reinforcement learning algorithms Proximal Policy Optimization using normalized Generalized Advantage Estimation and optional batch mode training. The loss function incorporates an entropy bonus.

This project designs a paradigm of dynamic partitioning system which uses reinforcement learning algorithm, PPO, to solve the dynamic workload problem in vertical partitioning field.

Intelligent traffic light control using PPO and NetLogo. Simulates a 4-way junction with real-time sensor input to optimize flow and reduce congestion. Built with Stable-Baselines3 and Gymnasium.