Tensorflow implementation of Deep Reinforcement Learning Agent for CartPole

Training Deep RL agents in VizDoom.

Minecraft reinforcement learning with legacy environment

Deep Q Learning for resolving Partially Observable MDP based on Minecraft environment

Implementation of DQN, DDQN and DRQNs for Atari Games in Tensorflow. [Work in Progress]

hdrqn

Tensorflow implementation of Reinforcement Learning methods for Atari 2600.

My DRL(Deep Reinforcement Learning ) algorithm demo, base on pytorch and gym environment.

Alogtrader bot using RL

Implementation of the DQN and DRQN algorithms in Keras and tensorflow

A multi agent reinforcement learning environment where two agents controlled by DRQNs play a custom version of the pursuit-evasion game.

Deep Recurrent Q-Network with different exploration strategies for self-driving cars (using AirSim)

This is a reconstruction of previous repository(rl-algorithms).

Multi-Agent Deep Recurrent Q-Learning with Bayesian epsilon-greedy on AirSim simulator

Pathfinding Using Reinforcement Learning

To keep track and showcase

Collision Avoidance with Reinforcement Learning

Atari-DRQN (keras ver.)

using recurrent networks(LSTM) to solve POMDPs