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
653 results
Generative Tensorial Reinforcement Learning (GENTRL) model
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
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
Reinforcement Learning with Model Predictive Control
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).
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
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
Reinforcement Learning in PyTorch
24,523 repositories in the index in total.