The implement of all kinds of dqn reinforcement learning with Pytorch
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Updated
Mar 25, 2021 - Python
The implement of all kinds of dqn reinforcement learning with Pytorch
Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning
Investigating Transfer Learning in Modern Deep Reinforcement Learning Architectures
Implementation of Soft QLearning Algorithm
A codebase for continuous action spaces Reinforcement Learning algorithms
In this piece of work, I have implemented Soft Quality Imitation Learning (SQIL) on Cartpole game environment. Now I'm trying to implement the algorithm on VizDoom Game Environment. It's still in progess.
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
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