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
A multi agent reinforcement learning environment where two agents controlled by DRQNs play a custom version of the pursuit-evasion game.
hdrqn
Multi-Agent Deep Recurrent Q-Learning with Bayesian epsilon-greedy on AirSim simulator
Training Deep RL agents in VizDoom.
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
Implementation of DQN, DDQN and DRQNs for Atari Games in Tensorflow. [Work in Progress]
Alogtrader bot using RL
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).
To keep track and showcase
Atari-DRQN (keras ver.)
Collision Avoidance with Reinforcement Learning
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