Tensorflow implementation of Deep Reinforcement Learning Agent for CartPole
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Updated
May 3, 2018 - Python
Tensorflow implementation of Deep Reinforcement Learning Agent for CartPole
Atari-DRQN (keras ver.)
hdrqn
Tensorflow implementation of Reinforcement Learning methods for Atari 2600.
Implementation of DQN, DDQN and DRQNs for Atari Games in Tensorflow. [Work in Progress]
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
Pathfinding Using Reinforcement Learning
Repository for codes of 'Deep Reinforcement Learning'
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Training Deep RL agents in VizDoom.
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".
Implementation of the DQN and DRQN algorithms in Keras and tensorflow
To keep track and showcase
This is a reconstruction of previous repository(rl-algorithms).
Multi-Agent Deep Recurrent Q-Learning with Bayesian epsilon-greedy on AirSim simulator
Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro
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