GitHub topics: discrete-action-space
cubrink/mujoco-2.1-rl-project
Implementing Deep Reinforcement Learning Algorithms in Python for use in the MuJoCo Physics Simulator
Language: TeX - Size: 368 MB - Last synced at: 7 days ago - Pushed at: over 3 years ago - Stars: 15 - Forks: 3

naivoder/DiscretePPO
Pytorch implementation of Proximal Policy Optimization (PPO) for discrete action spaces
Language: Python - Size: 40.1 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

naivoder/DQN
Pytorch implementation of Deep Q Network (DQN) learning with vectorized environments
Language: Python - Size: 35.8 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

naivoder/DDQN
Pytorch implementation of Double Deep Q Network (DDQN) learning with vectorized environments
Language: Python - Size: 47.4 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

BY571/SAC_discrete
PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
Language: Python - Size: 44.9 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 38 - Forks: 11

BY571/Upside-Down-Reinforcement-Learning
Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
Language: Jupyter Notebook - Size: 2.64 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 75 - Forks: 10

SwamiKannan/Mountain-Car-v0
Mountain Car v0 using Q-Learning
Language: Jupyter Notebook - Size: 917 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
