Project Name	Stars	Most Recent Commit	Open Issues	License	Language
Ns3 Gym	427	7 months ago	35	gpl-2.0	C++
ns3-gym - The Playground for Reinforcement Learning in Networking Research
Rl Collision Avoidance	112	3 years ago	2		Python
Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"
Cadrl	26	6 years ago			Python
Implementation of paper "Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning". NO LONGER MAINTAINED. CHECK OUT CrowdNav.
Xy_universe	10	4 years ago		apache-2.0	Python
A 2D Particle Survival Environment for Deep Reinforcement Learning
Collision Avoidance	8	4 years ago	1		Python
Collision Avoidance with Reinforcement Learning
Collisionavoidance	8	6 years ago	1	mit	Python
Multi-Robot Collision Avoidance using Reinforcement Learning
Gtav Rewardhook	8	6 years ago	2		C#
Reinforcement Learning environment for Autonomous Vehicles in GTAV
Traffic Simulator Q Learning	7	6 years ago	4	mit	Jupyter Notebook
We propose a driver modeling process and its evaluation results of an intelligent autonomous driving policy, which is obtained through reinforcement learning techniques. Assuming a MDP decision making model, Q-learning method is applied to simple but descriptive state and action spaces, so that a policy is developed within limited computational load. The driver could perform reasonable maneuvers, like acceleration, deceleration or lane-changes, under usual traffic conditions on a multi-lane highway. A traffic simulator is also construed to evaluate a given policy in terms of collision rate, average travelling speed, and lane change times. Results show the policy gets well trained under reasonable time periods, where the driver acts interactively in the stochastic traffic environment, demonstrating low collision rate and obtaining higher travelling speed than the average of the environment. Sample traffic simulation videos are postedsit on YouTube.
Learning Complex Group Behaviours In A Multi Agent Competitive Environment	6	3 years ago	1	gpl-3.0	Python
EE485 research project

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ns3-gym - The Playground for Reinforcement Learning in Networking Research

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Rl Collision Avoidance ⭐ 112

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Cadrl ⭐ 26

Implementation of paper "Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning". NO LONGER MAINTAINED. CHECK OUT CrowdNav.

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Xy_universe ⭐ 10

A 2D Particle Survival Environment for Deep Reinforcement Learning

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Collisionavoidance ⭐ 8

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Gtav Rewardhook ⭐ 8

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Traffic Simulator Q Learning ⭐ 7

We propose a driver modeling process and its evaluation results of an intelligent autonomous driving policy, which is obtained through reinforcement learning techniques. Assuming a MDP decision making model, Q-learning method is applied to simple but descriptive state and action spaces, so that a policy is developed within limited computational load. The driver could perform reasonable maneuvers, like acceleration, deceleration or lane-changes, under usual traffic conditions on a multi-lane high

most recent commit 6 years ago

Learning Complex Group Behaviours In A Multi Agent Competitive Environment ⭐ 6

EE485 research project

most recent commit 3 years ago

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