Implementation of Deep Q-Networks in Pytorch
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Updated
Dec 22, 2018 - Python
Implementation of Deep Q-Networks in Pytorch
Slide presentation reviewing advances in reinforcement learning
Implementation of the bit-flipping experiment in the HER paper
The repository contains implementation of an AI agent to navigate and collect maximum yellow bananas, in the given environment using various deep reinforcement learning algorithms.
Propose fully convolutional network with skip connection which is deeper than the network used in vanilla DQN.
Basic code for reinforcement learning and small programs.
Signal novelty detection as an intrinsic reward for robotics
Observe your machine learning to play a video game
A collection of RL algorithms written in PyTorch
Example Rainbow DQN implementation with ReLAx
小时候练手的rl项目
Another Addition to the Pile of Deep Q Learning, Double DQN, PER, Dueling DQN Implementations
Implementation of various Deep Q-Network (DQN) variants
Dueling Deep Q learning network play Super Mario Bros
A comparision between the performances of DQN and several of its variants using PyTorch and Pong.
Tensorflow - Keras /PyTorch Implementation ⚡️ of State-of-the-art DeepQN for RL Gym benchmarks 👨💻
Apply Dueling DQN
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