Repository for Discrete Tsallis Actor-Critic (Discrete TAC) model implementation for solving reinforcement learning tasks. This model is built using PyTorch and is designed to effectively learn policies that maximize α-Tsallis regularized expected returns in various discrete environments.
-
Notifications
You must be signed in to change notification settings - Fork 0
AthomsG/TAC_Thesis
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Ongoing implementation of α-Tsallis regularized MDP
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published