soft-q-learning

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.