DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN

This code is the result of the collaboration of RL Turkey team.

In this repository, we try to solve musculoskeletal tasks with `Double DQN reinforcement learning` by using a `transformer` model has been used as the base model architecture.

Reinforcement Learning Tutorials & other bedtime stories in PyTorch

Implementation and evaluation of the RL algorithm Rainbow to learn to play Atari games.

Tensorflow based DQN and PyTorch based DDQN Agent for 'MountainCar-v0' openai-gym environment.

⛷ DQN and DDQN algorithms for OpenAI Gym Skiing environment 🎮

Implementation of a DDQN to play SMB for the NES.

Implementing deep reinforcement learning algorithm for banana collector and other upcoming project. Using different technique such as Deep Q-network (DQN) and Double Deep Quick Network (DDQN)

q learning & deep q learning using pytorch

Deep reinforcement nano degree in Udacity - Prioritized Double DQN

A RL agent trained to play Mario using DDQN

Ensuring trust among agents using Multi-Agent Deep Reinforcement Learning

Reinforcement Learning

A repo contains my implementation and analysis of some well-known Reinforcement Learning problems and algorithms.

Reinforcement Learning Implementations in PyTorch