There are 1 repository under drqn topic.
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro
DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN
This is the code implementation of the paper "Financial Trading as a Game: A Deep Reinforcement Learning Approach".
using recurrent networks(LSTM) to solve POMDPs
Atari-DRQN (keras ver.)
Collision Avoidance with Reinforcement Learning
To keep track and showcase
Multi-Agent Deep Recurrent Q-Learning with Bayesian epsilon-greedy on AirSim simulator
This is a reconstruction of previous repository(rl-algorithms).
Implementation of the DQN and DRQN algorithms in Keras and tensorflow
Alogtrader bot using RL
Deep Recurrent Q-Network with different exploration strategies for self-driving cars (using AirSim)
Tensorflow implementation of Reinforcement Learning methods for Atari 2600.
hdrqn
My DRL(Deep Reinforcement Learning ) algorithm demo, base on pytorch and gym 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]
Tensorflow implementation of Deep Reinforcement Learning Agent for CartPole
Training Deep RL agents in VizDoom.
Minecraft reinforcement learning with legacy environment