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rllib

Here are 31 public repositories matching this topic...

ray-project / ray

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[tune] Support resolving grid search variables before random samples

3

richardliaw commented Apr 5, 2021

Right now, grid search variables are resolved before the random samples are generated.

If we could toggle the order of resolution, we could support this: https://discuss.ray.io/t/is-there-a-way-to-run-the-same-hyperparameter-configuration-multiple-times/1412/12

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P3 enhancement good first issue

Open

Feature Request: Python API to get current Ray cluster information

1

Open

[core] How to obtain memory occupied by object ref?

4

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gym-pybullet-drones

utiasDSL / gym-pybullet-drones

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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

Updated Mar 27, 2021
Python

T-1000

Draichi / T-1000

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⚡

⚡ 𝘋𝘦𝘦𝘱 𝘙𝘓 𝘈𝘭𝘨𝘰𝘵𝘳𝘢𝘥𝘪𝘯𝘨 𝘸𝘪𝘵𝘩 𝘙𝘢𝘺 𝘈𝘗𝘐

bot trading genetic-algorithm trading-bot algotrading rl ray reinforcement-learning-bot rllib

Updated Oct 23, 2020
Python

druce / rl

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Deep Reinforcement Learning For Trading

python machine-learning reinforcement-learning deep-learning trading keras jupyter-notebook quantitative-finance algorithmic-trading deep-q-network quantitative-trading keras-tensorflow rllib

Updated Nov 25, 2020
Jupyter Notebook

ChuaCheowHuan / gym-continuousDoubleAuction

Star

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

lstm quantitative-finance ray limit-order-book quantitative-trading financial-engineering market-microstructure zero-sum high-frequency-trading gym-environment ppo self-play double-auction multi-agent-reinforcement-learning rllib marl n-player zero-sum-games

Updated Mar 25, 2021
Jupyter Notebook

angelolovatto / raylab

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Open

Scale tril by desired average action stddev

angelolovatto commented Sep 12, 2019

Currently we use a very ad-hoc procedure for scaling the quadratic component of NAF when used for exploration:
https://github.com/angelolovatto/raylab/blob/9820275b17ee085e1955a6d845c0bdf61333f8da/raylab/algorithms/naf/naf_policy.py#L150-L155

A possibly better alternative would be to scale it based on the desired average action stddev. Something like:

scale_tril * (1.0 / average_st

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good first issue

DerwenAI / ray_tutorial

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An introductory tutorial about leveraging Ray core features for distributed patterns.

python distributed-systems scikit-learn profiling ray futures pattern-language task-parallelism actor-pattern rllib ray-tutorial introductory-tutorial

Updated Apr 3, 2021
Jupyter Notebook

JacopoPan / a-minimalist-guide

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Walkthroughs for DSL, UTIAS, and the Vector Institute

ubuntu anaconda tensorflow slurm tutorials torch nvidia ray unreal-engine-4 airsim rllib

Updated Mar 30, 2021
C++

goshaQ / adaptive-tls

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Adaptive real-time traffic light signal control system using Deep Multi-Agent Reinforcement Learning

reinforcement-learning sumo traffic-control rllib

Updated Nov 17, 2020
Python

dcos-labs / dcos-jupyterlab-service

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JupyterLab Notebook for Mesosphere DC/OS

Updated Aug 6, 2019
Shell

DerwenAI / rllib_tutorials

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RLlib tutorials for Anyscale

python reinforcement-learning gym notebooks rllib rllib-tutorials

Updated Aug 30, 2020
Jupyter Notebook

HumanCompatibleAI / better-adversarial-defenses

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Training in bursts for defending against adversarial policies

reinforcement-learning gym ray multiagent-reinforcement-learning adversarial-examples population-based-training rllib stable-baselines tensorflow2 adversarial-policies

Updated Dec 8, 2020
Python

DerwenAI / gym_example

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An example implementation of an OpenAI Gym environment used for a Ray RLlib tutorial

ray gym-environment rllib

Updated Aug 4, 2020
Python

CN-UPB / DeepCoMP

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Dynamic multi-cell selection for cooperative multipoint (CoMP) using (multi-agent) deep reinforcement learning

python mobile reinforcement-learning simulation wireless cellular ray comp ppo multi-agent-reinforcement-learning rllib cell-selection

Updated Mar 17, 2021
Python

Senmumu / ray_project_doc

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ray project 中文文档

python java data-science machine-learning reinforcement-learning deep-learning optimization parallel distributed model-selection hyperparameter-optimization ray automl hyperparameter-search rllib

Updated Sep 6, 2019
Python

toanngosy / robustprosthetics

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NIPS challenge 2018 Prosthetics playground and testing ideas

reinforcement-learning ray rllib opensim-rl

Updated Jun 12, 2019
Python

ChuaCheowHuan / PBT_MARL_watered_down

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My attempt to implement a water down version of PBT (Population based training) for MARL (Multi-agent reinforcement learning) using DDPPO (Decentralized & distributed proximal policy optimization) from ray[rllib].

ray pbt population-based-training self-play multi-agent-reinforcement-learning rllib marl pbt-marl ddppo

Updated Aug 25, 2020
Jupyter Notebook

wullli / flatlander

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RL robust to deadlocks for the Flatland Challenge 2020.

reinforcement-learning apex dqn conflict-detection flatland rllib rescheduling flatland-challenge

Updated Nov 27, 2020
Jupyter Notebook

nicofirst1 / rl_werewolf

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RL environment replicating the werewolf game to study emergent communication

python reinforcement-learning mafia-game emergent-behavior werewolf-game rllib emergent-communication

Updated Mar 26, 2021
Python

mynkpl1998 / upgraded-octo-lamp

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An autonomous driving simulator for modelling Vehicle to Infrastructure (V2I) conditions.

reinforcement-learning newtonian-mechanics policy-gradient autonomous-driving autonomous-vehicles pygame-application v2i gym-environment ppo intelligent-driver-model rllib

Updated Mar 25, 2021
Jupyter Notebook

akirasosa / aie-train

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AI Economist Training Examples

reinforcement-learning ppo rllib

Updated Feb 24, 2021
Python

xdralex / pioneer

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RL training for the 6DoF manipulator

reinforcement-learning deep-learning robotics openai-gym pybullet rllib

Updated Aug 11, 2020
Python

thiagopbueno / model-aware-policy-optimization

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Open

Add Gym env for Navigation domain with bimodal dynamics distribution

thiagopbueno commented Aug 8, 2019

Implement parameterized linear and non-linear dynamics model with bimodal Gaussian noise.

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enhancement good first issue

Open

Create Value function class

jthelin / HelloRayActors

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A simple example of distributed actors using ray - http://rllib.io/

python actors actor-model ray rllib

Updated May 26, 2019
Python

hybug / RL_Lab

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reinforcement learning alogrithm implement with Ray

reinforcement-learning tensorflow ray ppo rllib distributed-reinforcement-learning

Updated Jan 22, 2021
Python

ChuaCheowHuan / sagemaker_Ray_RLlib_custom_env

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Sample setup for custom reinforcement learning environment in Sagemaker. This example uses Proximal Policy Optimization with Ray (RLlib).

reinforcement-learning rl ray ppo sagemaker rllib custom-gym-environment

Updated Sep 30, 2019
Python

3neutronstar / flow-autonomous-driving

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RL based simulation

flow reinforcement-learning ddpg ppo rllib

Updated Nov 16, 2020
Python

rlew631 / AutonomousVehicleSimulation

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Used Flow, Ray/RLlib and OpenAI Gym to simulate and train autonomous vehicles/human drivers in SUMO (Simulation of Urban Mobility)

flow rllib flow-minicity-environment simulating-autonomous-vehicles

Updated Dec 15, 2020
Jupyter Notebook

EyaRhouma / curriculum_learning_rllib

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Curriculum learning using rllib on gymEnv "CarRacing"

car-racing gym-environment curriculum-learning ppo rllib

Updated Jan 14, 2020
Python

ndalton12 / AMPED

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Reinforcement learning algorithm that blends the N-th order Markov property with abstract MDPs, PPO, and a hybrid model-free/model-based approach.

reinforcement-learning markov pytorch ray super-mario-bros ppo rllib mu-zero

Updated Dec 16, 2020
Python

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