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RL-and-AI-in-Revenue-Managementby gloggerS
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multi-threaded reinforcement learning development module
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Baseline Techniques for REINFORCE Algorithm in Policy Based Reinforcement Learning
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Reinforcement-learning-in-Comm-theoryby adarshX
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This is an implementation of intelligent pacman agents for the Pacman Capture the Flag game designed at UC Berkeley. I worked on this project with Liyuan Zheng.
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offline-rlby anonymous-code-github
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InverseRLby svikramank
Apprenticeship learning using Inverse Reinforcement Learning for Antenna Tilt Optimization. This was solely carried out by myself during my internship at Ericsson Research.
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RLRankby IR-Ranker
RL Ranking Framework (CIKM 2019)
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micronet-submissionby jeffreyzpan
This is my submission to the 2019 MicroNet Challenge hosted at NeurIPS 2019.
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ConservativePolicyGradientby tesslerc
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GHOfflineby TiagoDanin
Check offline site in a repository of Github
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watchdogby gbif
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ndarray-unsqueezeby scijs
Add singleton dimensions to an ndarray
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Independent-Studyby Burtorustum
Linda and Rob's Independent Study into the Spyndra Robot and reinforcement learning.
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Finding-T-for-Treasureby praj000
Wanderer "O" will Find Treasure "T" itself...#RL
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s3_lifecycle_decision_engineby MoonMoon1919
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RL-and-AI-in-Revenue-Managementby gloggerS
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Coliseumby mkrum
multi-threaded reinforcement learning development module
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RL-multiplayershootinggameby IronEdward
A program of a Reinforcement Learning agent learning how to play a shooting game.
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reinforce_baselinesby Nithin-Holla
Baseline Techniques for REINFORCE Algorithm in Policy Based Reinforcement Learning
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BlackJack-CardGameby samarthaggarwal
Reinforcement Learning - Course Assignment
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RL_Lectureby Kyushik
This is repository for Reinforcement Learning Lecture
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spriteluby spitis
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Reinforcement_Learning_Maze_Solverby lucadivit
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PyDominionby SpecificGenerality
Python implementation of Dominion for Princeton COS independent work.
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gym-scalingby adobe
This gym simulates a very basic cloud provider environment to be able to train automatic scaling agents
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smartstartby BartKeulen
SmartStart exploration method for reinforcement learning algorithms.
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learn-to-runby mansimov
Learning to Run https://www.crowdai.org/challenges/nips-2017-learning-to-run
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batsim-pyby lccasagrande
Batsim is a scientific simulator commonly used to evaluate Resource and Job Management System (RJMS) policies. Batsim-py allows using Batsim from Python 3.
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game-aware-programsby lordtt13
A bunch of cool Reinforcement Learning Algorithms deployed on various Game Environments for us to experiment with
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deeprlby vtolani95
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DMRC-Connectby gupta-meghna64
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TurtleTankby LeMaq
Recreating Atari's Combat using python's turtle.
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openai_ros2by siw-engineering
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Reinforcement-learning-in-Comm-theoryby adarshX
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learning_cheetahby dhkim0821
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NSGA-Smash-AIby gabriel-richardson
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Self-driving-car-using-Reinforcement-Learning-for-Computer-Visionby buenohernandez
Self-driving car using Reinforcement Learning for Computer Vision
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kaltura-moodle_plugin-v3by acheckley
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rl-drivingby stanislav-chekmenev
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BCI_AudioTactileby maryammokhberi
An Audio-Tactile Brain-Computer Interface to help people with control the environment solely by thinking
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DeepReinforcementLearningControlOfQuantumCartpolesby Z-T-WANG
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ML-Unityby JonathanVanDyke
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Industrial_assmbly_RLby Alonso94
Developing an efficient way to solve robotics assembly tasks by using RL and optimal control
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gym-kuka-mujocoby hzm2016
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UnityQlearningAlgorithmby taylerallen6
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hierarchical-dqnby Poddiachyi
Hierarchical-DQN in PyTorch on MountainCar environment
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DIAGby tkkiran
Code for reproducing the experiments in the paper, "Efficient Algorithms for Smooth Minimax Optimization", KK Thekumparampil, P Jain, P Netrapalli, S Oh, NeurIPS 2019
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GAILby sharma-arjun
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pytetrisby janmaltel
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ddpgby takuseno
Deep Deterministic Policy Gradient implementation with TensorFlow
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FoodWastePrevention-RLby TimeTraveller-San
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Pacman_CTFby TianqiPeng
This is an implementation of intelligent pacman agents for the Pacman Capture the Flag game designed at UC Berkeley. I worked on this project with Liyuan Zheng.
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