exploration-exploitation

There are 4 repositories under exploration-exploitation topic.

wzhe06 / Reco-papers
Classic papers and resources on recommendation
recommender-system deep-learning machine-learning recommendation exploration-exploitation reinforcement-learning
Language:Python 3254
opendilab / DI-engine
OpenDILab Decision AI Engine
atari distributed-reinforcement-learning distributed-system drl exploration-exploitation imitation-learning impala inverse-reinforcement-learning minigrid model-based-reinforcement-learning mujoco multiagent-reinforcement-learning offline-rl python pytorch-rl r2d2 reinforcement-learning reinforcement-learning-algorithms self-play smac
Language:Python 2513
awesome-deep-rl
tigerneil / awesome-deep-rl
For deep RL and the future of AI.
aaai aamas agi aistats artificial-general-intelligence deep-reinforcement-learning distributional exploration-exploitation game hierarchical-reinforcement-learning iclr icml ijcai inverse-rl multiagent-reinforcement-learning planning reinforcement-learning reward theoretical-computer-science uai
Language:HTML 1368
imsheridan / DeepRec
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
deep-learning recommendation-system recommendation reinforcement-learning exploration-exploitation computational-advertising
979
david-cortes / contextualbandits
Python implementations of contextual bandits algorithms
contextual-bandits exploration-exploitation multiarmed-bandits reinforcement-learning
Language:Python 705
YaoYao1995 / MEEE
Code to reproduce the experiments in Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation (MEEE).
reinforcement-learning exploration-exploitation model-based-reinforcement-learning
Language:Python 441
opendilab / awesome-exploration-rl
A curated list of awesome exploration RL resources (continually updated)
awesome awesome-list delayed-rewards exploration exploration-exploitation exploratory hard-exploration reinforcement-learning reinforcement-learning-algorithms sparse-reward-algorithms
277
TianhongDai / self-imitation-learning-pytorch
This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
a2c atari-games exploration-exploitation reinforcement-learning-algorithms
Language:Python 64
holarissun / RewardShifting
Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL
ensemble exploration-exploitation offline-reinforcement-learning reinforcement-learning reward-design reward-engineering reward-shaping value-based-methods deep-q-network rnd dqn-rnd ensemble-learning ensemble-rl
Language:Python 22
stratisMarkou / sample-efficient-bayesian-rl
Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL
reinforcement-learning efficient-rl bayesian-methods bayesian-inference bayesian-q-learning posterior-sampling psrl uncertainty-bellman-equation moment-matching q-learning exploration-exploitation exploration tabular-environments tabular-methods reproducible-research
Language:Jupyter Notebook 22
Amshra267 / Thompson-Greedy-Comparison-for-MultiArmed-Bandits
Repository Containing Comparison of two methods for dealing with Exploration-Exploitation dilemma for MultiArmed Bandits
epsilon-greedy exploration-exploitation optimistic-bayesian-sampling thompson-sampling
Language:Python 9
gokceuludogan / interactive-music-recommendation
Personalized and Interactive Music Recommendation with Bandit approach
music-recommendation bandit-algorithms bayes-ucb exploration-exploitation
Language:Jupyter Notebook 9
kkm24132 / ReinforcementLearning
Focuses on Reinforcement Learning related concepts, use cases, and learning approaches
reinforcement-learning exploration-exploitation multi-armed-bandits montecarlo temporal-difference-algorithms sarsa q-learning policy-gradient linear-function-approximation
Language:Jupyter Notebook 7
mbhenaff / neural-e3
deep-learning deep-reinforcement-learning exploration-exploitation model-based-rl
Language:Python 7
kakaobrain / leco
Official implementation of LECO (NeurIPS'22)
exploration-exploitation reinforcement-learning
Language:Python 5
baturaysaglam / DISCOVER
Deep Intrinsically Motivated Exploration in Continuous Control
actor-critic deep-reinforcement-learning exploration-exploitation
Language:Python 4
guptav96 / bandit-algorithms
A short implementation of bandit algorithms - ETC, UCB, MOSS and KL-UCB
reinforcement-learning bandit-algorithms exploration-exploitation
Language:Python 4
fabprezja / Deep-Learning-TPBook-Points
Some Key Points from the Deep Learning Tuning Playbook
deeo-learning hyperparameter-tuning machine-learning optimization deep-learning-tuning-playbook bayesian-optimization exploration-exploitation model-optimization optimizer-selection
3
hridayns / Research-Project-on-Reinforcement-learning
Research Thesis - Reinforcement Learning
ddqn dqn exploration-exploitation openai-gym reinforcement-learning
Language:Python 3
kochlisGit / Reinforcement-Learning-Algorithms
This project focuses on comparing different Reinforcement Learning Algorithms, including monte-carlo, q-learning, lambda q-learning epsilon-greedy variations, etc.
approximation-algorithms dynamic-programming epsilon-greedy exploration-exploitation frozen-lake markov-chains monte-carlo multi-bandit-army openai-gym policy python q-lambda q-learning reinforcement-learning rl-agents thomson-sampling ucb1
Language:Python 3
hmishfaq / LMC-LSVI
The official code release for Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo, ICLR 2024.
exploration-exploitation langevin-mc reinforcement-learning thompson-sampling
Language:Python 2
Ralami1859 / Action-Elimination-for-Multi-Armed-Bandits
Action elimination for multi-armed bandits
multi-armed-bandit action-elimination exploration-exploitation
Language:MATLAB 2
spoluan / reinforcement_learning
This repository contains a variety of projects related to reinforcement learning, showcasing different approaches to implementing it in various scenarios.
agent bellman-equation environment exploration-exploitation markov-decision-processes policy q-learning reinforcment-learning rewards deep-reinforcement-learning discount-factor model-based-learning policy-gradient
Language:Jupyter Notebook 2
SXV357 / Inspirit-AI-Deep-Dive-Designing-DL-Systems-FinalProject-RL-for-Autonomous-Vehicles
This project uses Reinforcement Learning to teach an agent to drive by itself and learn from its observations so that it can maximize the reward(180+ lines)
deep-q-learning reinforcement-learning epsilon-greedy loss-functions q-learning exploration-exploitation
Language:Jupyter Notebook 2
tyoon10 / Exploration-and-Exploitation
business strategy exploration-exploitation
Language:Jupyter Notebook 2
baturaysaglam / Q-Error-Exploration
An Optimistic Approach to the Q-Network Error in Actor-Critic Methods
actor-critic deep-reinforcement-learning experience-replay off-policy exploration-exploitation
Language:Python 1
kalexandriabond / competing-representations-shape-evidence-accumulation
Human and sim. behavioral / small-scale neural data for paper: https://www.biorxiv.org/content/10.1101/2022.10.03.510668v2
corticobasal-ganglia-thalamic exploration-exploitation uncertainty
Language:Jupyter Notebook 1
rom1mouret / exploration
over-parameterization = exploration ?
exploration-exploitation global-optimization gradient-descent hypernetworks over-parameterization
Language:Python 1
ruqoyyasadiq / deep_RL-multi-arm-bandit-exploration
This is an implementation of the Reinforcement Learning multi-arm-bandit experiment using different exploration techniques.
reinforcement-learning reinforcement-learning-algorithms bandit-algorithms exploration-strategy exploration-exploitation
Language:Python 1
Sagarnandeshwar / Bandit_Algorithms
Reinforcement Learning (COMP 579) Project
bandit-algorithms bernoulli-distribution epsilon-greedy exploration-exploitation reinforcement-learning thompson-sampling ucb
Language:Jupyter Notebook 1
avorozhtsov / shipit
Exploitation vs Exploration problem stated as A/B-testing with maximum profit per unit time.
ab-testing continuous-testing exploration-exploitation mab peaking
Language:Mathematica 0
JiahongXu123 / OSPO-algorithm
OSPO is a novel metaheuristic algorithm which has the potential to solve different kinds of problems with promising performance.
metaheuristics adaptive optimization-algorithms exploration-exploitation global-optimization
0
nsandholtz / hotspot_paper
A companion repository for 'Inverse Bayesian Optimization: Learning Human Acquisition Functions in an Exploration vs Exploitation Search Task'
optimization bayesian-inference bayesian-optimization inverse-problems directional-statistics exploration-exploitation
Language:R 0
siavashadpey / MultiArmedBandits
active-learning bandit-algorithms exploration-exploitation reinforcement-learning
Language:Python 0
alxndrTL / RL-essais-cliniques
clinical-trials epsilon-greedy-exploration exploration-exploitation multi-armed-bandit reinforcement-learning ucb-algorithm essais-cliniques
Anjali001 / Reinforcement-Learning
epsilon-greedy-exploration exploration-exploitation greedy-algorithm policy-gradient reinforce reinforcement-learning sarsa-learning td-lambda td-learning ucb-algorithm
Language:Jupyter Notebook

exploration-exploitation

wzhe06 / Reco-papers

opendilab / DI-engine

tigerneil / awesome-deep-rl

imsheridan / DeepRec

david-cortes / contextualbandits

YaoYao1995 / MEEE

opendilab / awesome-exploration-rl

TianhongDai / self-imitation-learning-pytorch

holarissun / RewardShifting

stratisMarkou / sample-efficient-bayesian-rl

Amshra267 / Thompson-Greedy-Comparison-for-MultiArmed-Bandits

gokceuludogan / interactive-music-recommendation

kkm24132 / ReinforcementLearning

mbhenaff / neural-e3

kakaobrain / leco

baturaysaglam / DISCOVER

guptav96 / bandit-algorithms

fabprezja / Deep-Learning-TPBook-Points

hridayns / Research-Project-on-Reinforcement-learning

kochlisGit / Reinforcement-Learning-Algorithms

hmishfaq / LMC-LSVI

Ralami1859 / Action-Elimination-for-Multi-Armed-Bandits

spoluan / reinforcement_learning

SXV357 / Inspirit-AI-Deep-Dive-Designing-DL-Systems-FinalProject-RL-for-Autonomous-Vehicles

tyoon10 / Exploration-and-Exploitation

baturaysaglam / Q-Error-Exploration

kalexandriabond / competing-representations-shape-evidence-accumulation

rom1mouret / exploration

ruqoyyasadiq / deep_RL-multi-arm-bandit-exploration

Sagarnandeshwar / Bandit_Algorithms

avorozhtsov / shipit

JiahongXu123 / OSPO-algorithm

nsandholtz / hotspot_paper

siavashadpey / MultiArmedBandits

alxndrTL / RL-essais-cliniques

Anjali001 / Reinforcement-Learning