insilicomedicine/GENTRL
quality grade F, 24 out of 100Generative Tensorial Reinforcement Learning (GENTRL) model
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RL algorithms, environments, simulators and decision-making systems.
Signals: reinforcement-learning, deep-reinforcement-learning, rl, gymnasium, openai-gym, multi-agent-reinforcement-learning, imitation-learning
663 results
Generative Tensorial Reinforcement Learning (GENTRL) model
Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments
StarCraft II - pysc2 Deep Reinforcement Learning Examples
Flappy Bird hack using Reinforcement Learning
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
Rainbow: Combining Improvements in Deep Reinforcement Learning
Reinforcement learning environments with musculoskeletal models
Python library for Reinforcement Learning.
This is a private learning repository for reinforcement learning techniques used in robotics.
《Reinforcement Learning: An Introduction》(第二版)中文翻译
Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind
Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa
The repository is for safe reinforcement learning baselines.
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
Motion imitation with deep reinforcement learning.
An educational resource to help anyone learn deep reinforcement learning.
No description
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Hands-On Reinforcement Learning with Python, published by Packt
A list of papers and resources dedicated to deep reinforcement learning
Reinforcement Learning in PyTorch
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
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