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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