The Retro Learning Environment (RLE) -- a learning framework for AI
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Updated
Jun 6, 2018 - C++
The Retro Learning Environment (RLE) -- a learning framework for AI
Deep Reinforcement Learning applied to robotic arm
TCP congestion control using ns3-gym setup for DQN reinforcement learning.
RLOP: A Framework for Reinforcement Learning, Optimization and Planning Algorithms
testing MLP, DQN, PPO, SAC, policy-gradient by snakeAI
A reinforcement learning framework for the game of Nim.
Investigating Q-Learning and DQN variants for Traffic Signal Control problem
Turn based strategy developed in UE4 in order to test DQN which is written as a C++ library.
Reinforcement Learning in Flashlight and Arrayfire
This projects contains a python module with a realization of DQN and a UE4 game made to test it.
A Study on Reinforcement Learning in Starcraft Game Platform as a Collaborative Researcher of Samsung Company.
This project contains a library implementing DQN algorithm in C++ language. It's intended to be used in game development.
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