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cvar-energy-risk-deep-model

CVaR-based Flight Energy Risk Assessment for Multirotor UAVs using a Deep Energy Model

deep-marl-toolkit

MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT...

maac_baseline

maproj_myversion

Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment

marl_demo

demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG and NCC-MARL.

marl_off-policy

PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.

marl_on_policy

This is the official implementation of Multi-Agent PPO (MAPPO).

maximum-inscribed-circle

Reads data files containing polygons and outputs the co-ordinates and diameter (and optionally points of the circle) of maximum inscribed circles to be contained within the digitized polygons.

maxrect

Find the maximally inscribed, axis-aligned rectangle for a given polygon

multi_agent_aac

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

multi_agent_path_planning

Python implementation of a bunch of multi-robot path-planning algorithms.

parametersharingmadrl

poly-hoot

pomcp-for-beginners

An implementation of the POMCP algorithm in python in the hopes of learning something new.

pomdp-py

A framework to build and solve POMDP problems. Documentation: https://h2r.github.io/pomdp-py/

popular-rl-algorithms

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

pypomdp

Python implementation of POMDP framework and PBVI & POMCP algorithms.

python-rvo2-3d

RVO2-3D Library Python Bindings

python-rvo2_v2

Optimal Reciprocal Collision Avoidance, Python bindings

pythonrobotics

Python sample codes for robotics algorithms.

pytorch-soft-actor-critic

PyTorch implementation of soft actor critic

pytorch_deep_learning

pytorch_sac

PyTorch implementation of Soft Actor-Critic (SAC)

qmix_ss

PyTorch implements multi-agent reinforcement learning algorithms, including QMIX, Independent PPO, Centralized PPO, Grid Wise Control, Grid Wise Control+PPO, Grid Wise Control+DDPG.

rlkit_own

Collection of reinforcement learning algorithms

robotics-planning-algorithms

Set of robotics algorithms implemented as a part of Robotics: Planning and Navigation Course (Spring 2021).

rvo2

Unofficial port of RVO2 to Python3

rvo_py_mas

Python Implementation of Reciprocal Velocity Obstacle for Multi-agent Systems

scalable-collision-avoidance-rl

Multi agent scalable reinforcement learning for formation control with collision avoidance

sqddpg

This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.