Soft Actor-Critic: Re-Implementation and Experiments
An attempt at expanding upon the theory and motivation behind the Soft Actor-Critic algorithm for continuous and discrete action space, as well as their resp...
Posts by Year
2022
2020
Masked Autoencoder for Distribution Estimation (MADE) Implementation and Experiments
Diving into the autoregressive models for unsupervised reinforcement learning with a focus on the MADE algorithm. Aims a exposing the theory in an intuitive ...
Deep Deterministic Policy Gradient
Going over the theory and implementation of the DDPG method. Also provides some benchmark on a handful of environments, and the effect of some specific imple...
Exploration schemes in Deep Q-Networks (DQN)
Investigating the impact of various exploration schemes on the DQN performance and learning efficiency.