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reinforcement

Here are 85 public repositories matching this topic...

opennars / opennars

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add Sentence.isQuestionOrQuest()

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PtrMan commented May 6, 2018

isQuestion() || sentence.isQuest() occurs frequently all over the place
https://github.com/opennars/opennars/search?utf8=%E2%9C%93&q=isQuestion%28%29+%7C%7C+sentence.isQuest%28%29&type=

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discussion good first issue refactor

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refactor parameters

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rename NAR inputs to nar

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Alfredvc / paac

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Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning

learning open-source machine-learning reinforcement-learning tensorflow atari reinforcement paac

Updated Jun 3, 2017
Python

RITCHIEHuang / DeepRL_Algorithms

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DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

deep-reinforcement-learning dqn policy-gradient reinforcement-learning-algorithms reinforcement trpo mujoco pytorch-rl ppo td3 pytorch-implementation soft-actor-critic tensorflow2 policygradient

Updated May 23, 2021
Python

cherry

learnables / cherry

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A PyTorch Library for Reinforcement Learning Research

learning reinforcement-learning pytorch rl reinforcement

Updated May 6, 2021
Python

akolishchak / doom-net-pytorch

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Reinforcement learning models in ViZDoom environment

agent learning reinforcement-learning pytorch doom behavior-tree mcts vizdoom reinforcement ppo doomnet-track1

Updated Dec 29, 2019
Python

wanyao1992 / code_summarization_public

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source code for 'Improving automatic source code summarization via deep reinforcement learning'

code deep-reinforcement-learning ast pytorch summarization tree-structure reinforcement comment-generation

Updated Jun 2, 2021
Python

Nth-iteration-labs / contextual

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Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies

machine-learning cran statistics reinforcement-learning simulation evaluation exploration exploitation bandit-learning reinforcement multi-armed-bandits multi-armed-bandit bandit contextual-bandits contextual cmab multi-armed bandit-experiments contextual-bandit-policies offline-bandit

Updated Jul 25, 2020
R

BardOfCodes / DRL_in_CV

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A course on Deep Reinforcement Learning in Computer Vision. Visit Website:

computer-vision course-materials deep-reinforcement-learning q-learning policy-gradient reinforcement temporal-differencing-learning

Updated Mar 21, 2018
HTML

bark-ml

bark-simulator / bark-ml

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Gym environments and agents for autonomous driving.

openai-gym autonomous-driving reinforcement agents gym-environments reinforcement-learning-environments

Updated Jul 20, 2021
Python

d3sm0 / gym_pomdp

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Gym-like extensions for POMDP

learning gym rl reinforcement pomdp

Updated Feb 28, 2021
Python

kshitiz38 / autonomous_drone_for_tracking

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Autonomous Drone for Object Tracking

tracking simulator reinforcement-learning multirotor tensorflow keras dqn drones reinforcement object-tracking self-driving uavs airsim

Updated Jun 19, 2018
Python

milanboers / rurel

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Flexible, reusable reinforcement learning (Q learning) implementation in Rust

rust learning ai q reinforcement

Updated Mar 27, 2021
Rust

lucylow / Deep-Learning-Mahjong---

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Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states

nlp markov-model mahjong reinforcement-learning computer-vision reactjs tensorflow game-development markov-chain supervised-learning game-theory deep-q-network reinforcement softmax supervised-machine-learning npc-generator deep-neural-network deep-learning-mahjong battle-mahjong game-play

Updated Mar 27, 2020
JavaScript

srama2512 / sidekicks

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Sidekick Policy Learning for Active Visual Exploration (ECCV 2018)

learning visual exploration reinforcement

Updated Dec 15, 2020
Python

FreeCAD-Reinforcement

amrit3701 / FreeCAD-Reinforcement

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Reinforcement Workbench for FreeCAD

addon bim freecad reinforcement hacktoberfest rebar structural

Updated Jul 16, 2021
Python

orrivlin / MountainCar_DQN_RND

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Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)

learning deep reinforcement

Updated Jan 28, 2019
Python

mvrahden / reinforce-js

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[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.

npm typescript reinforcement-learning ai deep-learning neural-network solver deep-reinforcement-learning artificial-intelligence dqn deepmind deep-q-network reinforcement learning-agents temporal-differencing-learning deterministic-policy-gradients dqn-solver reinforce-js td-solver machine-learning-solver

Updated Jun 29, 2018
TypeScript

FTdiscovery / 64CrazyhouseDeepLearning

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A deep learning Crazyhouse chess program that uses a Monte Carlo Tree Search (MCTS) based evaluation system and reinforcement to enhance its play style.

game reinforcement-learning neural-network supervised-learning reinforcement network-architecture

Updated Aug 17, 2019
Python

calclavia / rl

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Reinforcement learning algorithms implemented using Keras and OpenAI Gym

learning deep reinforcement

Updated Mar 30, 2017
Python

sohamghosh121 / PacmanGym

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Open AI Gym version of Berkeley AI Pacman with images as states

learning berkeley pacman openai gym rl reinforcement reinforcementlearning

Updated May 4, 2018
Python

A-Raafat / Torcs---Reinforcement-Learning-using-Q-Learning

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Lane keeping assistant using Reinforcement learning

learning reinforcement-learning q-learning torcs rl q reinforcement torcs-client lane-keeping lane-keeping-assistant torcs-rl

Updated May 19, 2020
Python

flying-cavalry

rlturkiye / flying-cavalry

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Flying Cavalry Project - Ucan Kavalye Projesi

learning reinforcement-learning ai deep-learning motion-planning path-planning reinforcement derin-ogrenme yapay-zeka

Updated Jun 14, 2021
Python

kekmodel / gym-tictactoe-zero

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Tic Tac Toe with Alpha Zero method - My first work

openai gym mcts tictactoe reinforcement alphago alphago-zero alphazero

Updated Aug 23, 2018
Python

comeh / DeepLearningForMDPs

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Some codes used for the numerical examples proposed in https://arxiv.org/abs/1812.05916

tensorflow neural-networks quantization reinforcement

Updated Sep 6, 2019
Python

s-ai-kia / SpaceXland

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🤖

✈ Landing a Virtual SpaceX rocket

reinforcement-learning openai-gym openai reinforcement spacex

Updated Sep 19, 2018

Xingtao / ReinforceLearningIntro

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Reinforcement Learning Introduction - Selected Exercise Solutions & Experiment Code

learning reinforcement-learning solutions code exercise reinforcement sutton

Updated Feb 18, 2019
Haskell

CSKrishna / Optimal-bidding-policy-using-Policy-Gradient-in-a-Multi-agent-Contextual-Bandit-setting

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We use policy gradient to help agents learn optimal policies in a competitive multi-agent contextual bandit setting

learning policy multi-agent gradient reinforcement bandit contextual

Updated Mar 9, 2018
Jupyter Notebook

CarsonScott / Dual-Process-Reinforcement

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An intelligent agent that adaptively changes its thought processes to maximize cumulative reward

agent machine-learning algorithm reinforcement-learning state-machine decision-making artificial-intelligence thought problem-solving unsupervised-learning intelligent-systems reinforcement reward intelligent-agent

Updated Feb 19, 2017

jiseongHAN / Super-Mario-RL

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🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄

super-mario mario reinforcement-learning pytorch dqn reinforcement dueling-dqn supermario

Updated Apr 30, 2021
Python

prabhatnagarajan / dqn

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This repository contains a python implementation of a Deep Q-Network (DQN) for Atari gameplay using tensorflow.

python learning intelligence deep-neural-networks reinforcement-learning tensorflow deep-reinforcement-learning deep dqn artificial deepmind reinforcement atari-games

Updated Jan 2, 2019
Python

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