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GitHub topics: soft-actor-critic-continuous

VachanVY/Reinforcement-Learning

PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research papers.

Language: Python - Size: 50 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 143 - Forks: 9

yasirbarlas/tabular-deep-reinforcement-learning

We investigate the (deep) Q-learning algorithm on different environments and measure the performance of our agents.

Language: Jupyter Notebook - Size: 3.21 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Panjete/mujocoagents

Exploring Imitation Learning (DAGGER), RL (Policy Gradients and Soft Actor-Critic) and Imitation-Seeded RL for training MuJoCo Environments in OpenAI's Gym

Language: Python - Size: 22.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Wb-az/Reinforcement-Learning

Reinforcement Learning and Deeep reinforcement Learning

Language: Jupyter Notebook - Size: 697 KB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 1

resuldagdanov/multi-agent-evolutionary-rl

Implementation of Evolutionary Strategies with Multi-Agent Deep Reinforcement Learning in PettingZoo Environments

Language: Python - Size: 282 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0