Repository for Open Source Reinforcement Learning Framework JORLDY
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Updated
Feb 14, 2023 - Python
Repository for Open Source Reinforcement Learning Framework JORLDY
A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
Make autonomous landing rockets using Deep Reinforcement Learning (Unity ML-Agents)
Nowadays Using machine learning methods at simulations systems has been gaining importance with spreading and growing machine learning methods. The main purpose of using simulations get a big gain because of can cause of lots of material and spiritual damages. Simulations can use in the military sector as can use in too diverse areas. developing…
Training a car to drive within the lanes in a Unity driving environment
A multi-agent environment using Unity ML-Agents Toolkit
🤖 Creation of an RL environment with Unity, where an agent must learn to survive by moving 🦿 and shooting🔫, using ML-Agents !
A project created with ML-Agents for AIs that play table tennis.
Multi Agent DDPG implementation in Python3 and Pytorch
Tensor Jam with ML-Agents for Unity3D!
Pacman AI implementation, credit to Volkan IlBeyli for the PacMan clone base->
A multi-agent environment using Unity ML-Agents Toolkit where two agents compete in a 1vs1 tank fight game
Final Year Project at UAM. study and develop of a fire monitoring system using drones.Using a Unity3D enviroment and reinforce learning to train the agents to track the fire expansion and obtain information with a high degree of reliability with respect to the real fire growth.
Reinforcement learning approach to physics based car which learns to avoid obstacles. Project was made in Unity, using MLAgents, reinfercement learning and C# scripts. The car recieves positive reward for driving into the goal and negative reward for driving into the walls, obstacles or for circling around.
This is a ML Unity project that works with ML agents RL to train a flying-trigger enemy NPC.
MLAgents project enables the creation of AI agents using reinforcement learning techniques. It features a pre-configured mechanism for agents and a gaming environment where they learn and perform tasks.
Most important scripts from my final degree project using MLAgents (Deep Reinforcement Learning) and Unity. It also includes a traditional AI algorithm to be compared with the ML one. Both AIs (ML and heuristic) had very similar results in a bird race, both AI methods are valid for this type of game.
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