DQN, Double DQN, Dueling Network
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Updated
Jun 2, 2017 - Python
DQN, Double DQN, Dueling Network
A RL agent that learns to play doom's deadly corridor based on DDQN and PER.
Example Dueling DQN implementation with ReLAx
Deep Reinforcement Learning: Value-Based methods. An implementation of DQN, DDQN, Dueling Architectures, DQV, DQV-Max on the PyTorch Lightning framework.
Open AI gym lunar-lander solution using Deep Q-Learning Network Architectures
Deep reinforcement learning agent
Reinforcement Learning Playground
RL based agent for atari games
Using the DRL algorithms put forward by Deepmind to play Atari 2600 Games with a comparison of algorithm performance
Reinforcement learning agent using dqqn, dueling network, per to play the google chrome trex browser game.
A Torch Based RL Framework for Rapid Prototyping of Research Papers
TensorFlow implementation of Deep RL (Reinforcement Learning) papers based on deep Q-learning (DQN)
PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF) and Extensions: N-step Bootstrapping, PER, Noisy Layer, Dueling Networks, and parallelization.
Modularized Implementation of Deep RL Algorithms in PyTorch
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