A Platform for Many-agent Reinforcement Learning
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May 28, 2020 - Python
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multi-agent
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Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
game
mahjong
reinforcement-learning
ai
poker
card-games
blackjack
deep-reinforcement-learning
openai-gym
multi-agent
card-game
uno
texas
game-bot
game-ai
poker-game
doudizhu
gym-environment
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Jul 22, 2021 - Python
Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).
ai
ml
deep-reinforcement-learning
economics
multi-agent
simulation-framework
python-3
multi-agent-reinforcement-learning
reinforcement-learning-environments
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Jun 2, 2021 - Python
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
agent
docker
finance
simulator
reinforcement-learning
transportation
multi-agent
raas
inventory-management
logistics
operations-research
rl-algorithms
citi-bike
multi-agent-reinforcement-learning
resource-optimization
maro
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Jul 23, 2021 - Python
PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control
control
reinforcement-learning
uav
quadcopter
robotics
multi-agent
quadrotor
crazyflie
ros2
pybullet
gym-environment
rllib
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Jul 24, 2021 - Python
Awesome Game AI materials of Multi-Agent Reinforcement Learning
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Jun 16, 2021
A collection of multi agent environments based on OpenAI gym.
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Jul 12, 2021 - Python
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
reinforcement-learning
deep-reinforcement-learning
pytorch
multi-agent
dqn
rl
deep-q-network
ddpg
drl
actor-critic
deep-deterministic-policy-gradient
proximal-policy-optimization
ppo
advantage-actor-critic
a2c
acktr
madrl
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Nov 11, 2017 - Python
This is the official implementation of Multi-Agent PPO (MAPPO).
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Jul 14, 2021 - Python
The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.
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Feb 28, 2019 - Python
Open-Source Framework for Development, Simulation and Benchmarking of Behavior Planning Algorithms for Autonomous Driving
benchmark
machine-learning
simulator
research
reinforcement-learning
robotics
simulation
multi-agent
bark
self-driving-car
autonomous-driving
bark-simulator
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Jul 23, 2021 - C++
API to run VirtualHome, a Multi-Agent Household Simulator
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Jul 20, 2021 - Python
TensorSwarm: A framework for reinforcement learning of robot swarms.
reinforcement-learning
robotics
tensorflow
multi-agent
reinforcement-learning-algorithms
swarm-intelligence-algorithms
swarm-robotics
multi-agent-reinforcement-learning
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Feb 4, 2020 - Python
Trajectory Planner in Multi-Agent and Dynamic Environments
planner
optimization
path-planning
ros
multi-agent
trajectory-optimization
obstacle-avoidance
minvo
mader
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Jul 23, 2021 - C++
DavidMinarsch
commented
Jan 1, 2021
Is your feature request related to a problem? Please describe.
generate key: add --add-key option with --connection extras. We can generate key and set in config with one command, because it looks like a common case (see demos).
Describe the solution you'd like
Add --add-key flag to generate-key command which calls add-key as subcommand.
PGDrive: an open-ended driving simulator with infinite scenes from procedural generation
machine-learning
simulator
reinforcement-learning
computer-vision
deep-learning
procedural-generation
simulation
multi-agent
panda3d
autonomous-driving
imitation-learning
generalization
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Jul 24, 2021 - Python
Lightweight multi-agent gridworld Gym environment
multi-agent
gym
multiplayer-game
multiagent-systems
gridworld
multi-agent-systems
multiagent-reinforcement-learning
gym-environment
gridworld-environment
multi-agent-reinforcement-learning
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May 10, 2021 - Python
Multi & Single Agent Reinforcement Learning for Traffic Signal Control Problem
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May 13, 2021 - Python
Algorithm for prioritized multi-agent path finding (MAPF) in grid-worlds. Moves into arbitrary directions are allowed (each agent is allowed to follow any-angle path on the grid). Timeline is continuous, i.e. action durations are not explicitly discretized into timesteps. Different agents' size and moving speed are supported. Planning is carried out in (x, y, \theta) configuration space, i.e. agents' orientation are taken into account.
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Jan 24, 2021 - C++
A Universal Deep Reinforcement Learning Framework
environment
games
reinforcement-learning
deep-learning
deep-reinforcement-learning
human
multi-agent
reinforcement-learning-algorithms
multiplayer-game
multi-objective-optimization
atari
actor-critic
human-in-the-loop
arcade-learning-environment
actor-critic-algorithm
multi-agent-reinforcement-learning
policy-gradients
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Jun 8, 2021 - Python
Mobile Agent that moves on a platform distributed on many machines and recover the mac address of each machine during the deplacement
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Dec 4, 2019 - Java
[ICCV'21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch.
reinforcement-learning
multi-agent
representation-learning
imitation-learning
motion-forecasting
contrastive-learning
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Jul 22, 2021 - Python
Continuous CBS - a modification of conflict based search algorithm, that allows to perform actions (move, wait) of arbitrary duration. Timeline is not discretized, i.e. is continuous.
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Jun 3, 2021 - C++
MultiAgent Development Kit - version 5
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Apr 14, 2021 - Java
This is an implementation of the paper "Coordinated Multi Agent Imitation Learning", or the Sloan version "Data-Driven Ghosting using Deep Imitation Learning" using Tensorflow
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Jun 28, 2018 - Jupyter Notebook
Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
machine-learning
library
reinforcement-learning
algorithms
deep-reinforcement-learning
multi-agent
dqn
policy-gradient
reinforcement-learning-algorithms
ddpg
sac
curiosity
actor-critic
intrinsic-motivation
ppo
a2c
multi-agent-reinforcement-learning
continuous-action-space
soft-actor-critic
intrinsic-curiosity-module
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Oct 25, 2020 - Jupyter Notebook
reproduce some RL or Multi-Agent models
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May 22, 2019 - Python
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