The implement of all kinds of dqn reinforcement learning with Pytorch
[NeurIPS 2024] Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
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.
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