The pytorch implemetation of trpo
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Updated
Mar 14, 2022 - Python
The pytorch implemetation of trpo
My solutions to the labs from this bootcamp:
Deep reinforcement learning framework for fast prototyping based on PyTorch
A repository comparing Proximal Policy Optimization (PPO) and Trust Region Policy Optimization (TRPO) algorithms through implementation and performance evaluation in reinforcement learning environments.
Learning to Run NIPS 2017 Competition
Deep Reinforcement Learning Toolbox
ROS 2 enabled Machine Learning algorithms
Scheduling TRPO's KL Divergence Constraint
Generative-Adversarial-Imitation-Learning on PySC2
RL-Odyssey is a research framework for continuous control that implements state-of-the-art RL algorithms (SAC, TD3, PPO, etc.) with clean experiment scripts and interactive notebooks.
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3.
Use Gymnasium to develop a reinforcement learning agent. First Semester of the Third Year of the Bachelor's Degree in Artificial Intelligence and Data Science.
A repository for easy understanding of codes in Deep Reinforcement Learning
Example TRPO implementation with ReLAx
🌊 Implement advanced algorithms for USV path planning using reinforcement and imitation learning, ensuring efficient and safe navigation in complex environments.
Exhaustive Implementation of Algorithms, Key Papers, and Well-Known Problems of Reinforcement Leaning
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