PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
-
Updated
Oct 1, 2021 - Python
#
discrete-action-space
Here are 5 public repositories matching this topic...
Pytorch implementation of Deep Q Network (DQN) learning with vectorized environments
reinforcement-learning pytorch rl atari deep-q-network gymnasium deep-q-learning discrete-action-space
-
Updated
Aug 31, 2024 - Python
Pytorch implementation of Double Deep Q Network (DDQN) learning with vectorized environments
reinforcement-learning pytorch rl atari gymnasium double-dqn double-deep-q-network discrete-action-space double-deep-q-learning
-
Updated
Aug 15, 2024 - Python
Pytorch implementation of Proximal Policy Optimization (PPO) for discrete action spaces
reinforcement-learning pytorch rl atari gymnasium proximal-policy-optimization ppo discrete-action-space
-
Updated
Sep 22, 2024 - Python
PyTorch implementation of Monte Carlo policy gradient reinforcement
-
Updated
Jul 16, 2024 - Python
Improve this page
Add a description, image, and links to the discrete-action-space topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the discrete-action-space topic, visit your repo's landing page and select "manage topics."