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exploration-exploitation

Here are 23 public repositories matching this topic...

opendilab / DI-engine

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

Updated May 29, 2025
Python

wzhe06 / Reco-papers

Classic papers and resources on recommendation

machine-learning reinforcement-learning deep-learning recommender-system recommendation exploration-exploitation

Updated Jun 13, 2020
Python

david-cortes / contextualbandits

Python implementations of contextual bandits algorithms

reinforcement-learning contextual-bandits multiarmed-bandits exploration-exploitation

Updated May 9, 2025
Python

YaoYao1995 / MEEE

Code to reproduce the experiments in Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation (MEEE).

reinforcement-learning model-based-reinforcement-learning exploration-exploitation

Updated Aug 22, 2023
Python

TianhongDai / self-imitation-learning-pytorch

This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.

reinforcement-learning-algorithms atari-games a2c exploration-exploitation

Updated Nov 4, 2018
Python

holarissun / RewardShifting

Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL

reinforcement-learning ensemble ensemble-learning rnd deep-q-network reward-design reward-shaping exploration-exploitation value-based-methods reward-engineering offline-reinforcement-learning dqn-rnd ensemble-rl

Updated Oct 29, 2023
Python

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

Repository Containing Comparison of two methods for dealing with Exploration-Exploitation dilemma for MultiArmed Bandits

thompson-sampling epsilon-greedy exploration-exploitation optimistic-bayesian-sampling

Updated Jul 2, 2021
Python

hmishfaq / LSAC

The official code release for "Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning", ICLR 2025

reinforcement-learning thompson-sampling policy-gradient exploration-exploitation soft-actor-critic langevin-mc

Updated May 28, 2025
Python

mbhenaff / neural-e3

deep-learning deep-reinforcement-learning model-based-rl exploration-exploitation

Updated Dec 17, 2019
Python

kakaobrain / leco

Official implementation of LECO (NeurIPS'22)

reinforcement-learning exploration-exploitation

Updated May 11, 2023
Python

hmishfaq / LMC-LSVI

The official code release for Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo, ICLR 2024.

reinforcement-learning thompson-sampling exploration-exploitation langevin-mc

Updated Mar 10, 2024
Python

baturaysaglam / DISCOVER

Deep Intrinsically Motivated Exploration in Continuous Control

deep-reinforcement-learning actor-critic exploration-exploitation

Updated Mar 2, 2024
Python

guptav96 / bandit-algorithms

A short implementation of bandit algorithms - ETC, UCB, MOSS and KL-UCB

reinforcement-learning bandit-algorithms exploration-exploitation

Updated Feb 27, 2022
Python

haoyangzheng1996 / ts_ulmc

The GitHub repository for "Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo", AISTATS 2024.

monte-carlo thompson-sampling multi-armed-bandit langevin-dynamics exploration-exploitation

Updated Oct 19, 2024
Python

panxulab / LSVI-ASE

The official code release for "More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling", Reinforcement Learning Conference (RLC) 2024

reinforcement-learning thompson-sampling langevin-dynamics exploration-exploitation langevin-mc

Updated Jun 19, 2024
Python

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.

python reinforcement-learning monte-carlo openai-gym q-learning policy rl-agents epsilon-greedy dynamic-programming markov-chains approximation-algorithms ucb1 q-lambda exploration-exploitation thomson-sampling frozen-lake multi-bandit-army

Updated Feb 15, 2022
Python

hridayns / Research-Project-on-Reinforcement-learning

Research Thesis - Reinforcement Learning

reinforcement-learning openai-gym dqn ddqn exploration-exploitation

Updated May 22, 2019
Python

baturaysaglam / Q-Error-Exploration

An Optimistic Approach to the Q-Network Error in Actor-Critic Methods

deep-reinforcement-learning actor-critic off-policy experience-replay exploration-exploitation

Updated Jun 23, 2022
Python

ivotints / Learn2Slither

A reinforcement learning project where a snake learns to navigate and survive in a dynamic environment through Q-learning.

reinforcement-learning neural-network tensorflow keras q-learning snake-game exploration-exploitation ai-agent

Updated Apr 16, 2025
Python

rom1mouret / exploration

over-parameterization = exploration ?

global-optimization gradient-descent hypernetworks exploration-exploitation over-parameterization

Updated Aug 23, 2020
Python

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