Popular GitHub Repositories for Prioritized Experience Replay

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

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

Pytorch implementation of distributed deep reinforcement learning

Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)

RLCodebase: PyTorch Codebase For Deep Reinforcement Learning Algorithms

Implementation of Deep Reinforcement Learning algorithms in the Unity game engine.

A PyTorch implementation of the DRR framework (deep reinforcement learning, DDPG, PER, PMF) as it applies to restaurant recommendation.

Actor Prioritized Experience Replay

Autonomous Driving W/ Deep Reinforcement Learning in Lane Keeping - DDQN and SAC with kinematics/birdview-images

Applying the Trading Deep Q-Network algorithm (TDQN) on shares in the hydrogen sector.

A deep q-network AI agent that learns to collect bananas in a Unity environment

Flappy Bird Game trained on a Double Dueling Deep Q Network with Prioritized Experience Replay

implementation of reinforcement learning algorithm that is easy to read and understand

Implementation code when learning deep reinforcement learning

A basic reinforcement learning library in PHP

Ms Pacman DDQN Agent

A Reinforcement learning player for the Othello or Reversi game.

Deep Reinforcement Learning: Value-Based methods. An implementation of DQN, DDQN, Dueling Architectures, DQV, DQV-Max on the PyTorch Lightning framework.

Reinforcement Learning Agents for Analog Circuit Sizing in Haskell.