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.

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

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

Reinforcement Learning Tutorials & other bedtime stories in PyTorch

Ensuring trust among agents using Multi-Agent Deep Reinforcement Learning

Deep reinforcement nano degree in Udacity - Prioritized Double DQN

q learning & deep q learning using pytorch

A RL agent trained to play Mario using DDQN

Implementation of a DDQN to play SMB for the NES.

⛷ DQN and DDQN algorithms for OpenAI Gym Skiing environment 🎮

Reinforcement Learning

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)

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

Reinforcement Learning Implementations in PyTorch

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.