My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.

Using N-step dueling DDQN with PER for playing Pacman game

A library of reinforcement learning (RL) algorithms.

Reinforcement learning framework for agricultural robots using n step and Double DQN policy learning to optimize spraying, planting, and harvesting decisions. Designed for integration with real machine vision pipelines to enable perception driven, resource efficient autonomous farm labor.

Second homework for the Reinforcement Learning course