Tensorflow implementation of Deep Reinforcement Learning Agent for CartPole

hdrqn

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

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

Training Deep RL agents in VizDoom.

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

Tensorflow implementation of Reinforcement Learning methods for Atari 2600.

Minecraft reinforcement learning with legacy environment

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

Pathfinding Using Reinforcement Learning

Alogtrader bot using RL

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

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

Implementation of the DQN and DRQN algorithms in Keras and tensorflow

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

using recurrent networks(LSTM) to solve POMDPs

To keep track and showcase

Atari-DRQN (keras ver.)

Collision Avoidance with Reinforcement Learning