dquail / NonStationaryBandit

Related projects ⓘ

Alternatives and complementary repositories for NonStationaryBandit

• dustinvtran / bayesrl
  A Python library for reinforcement learning using Bayesian approaches
  ☆53Updated 9 years ago
• YRussac / WeightedLinearBandits
  Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"
  ☆17Updated 5 years ago
• RonanFR / UCRL
  ☆26Updated 5 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆48Updated 2 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆66Updated 6 years ago
• akshaykr / oracle_cb
  Experimentation for oracle based contextual bandit algorithms.
  ☆31Updated 2 years ago
• alexis-jacq / LOLA_DiCE
  Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)
  ☆90Updated 6 years ago
• iosband / TabulaRL
  ☆66Updated 8 months ago
• iurteaga / bandits
  Public repository for the work on bandit problems
  ☆23Updated 7 months ago
• angusfung / population-based-training
  Reproducing results from DeepMind's paper on Population Based Training of Neural Networks.
  ☆56Updated 6 years ago
• HankyuJang / Non-Stationary-Reinforcement-Learning-
  ☆8Updated 7 years ago
• xkianteb / ApproPO
  Reinforcement Learning with Convex Constraints
  ☆14Updated 2 years ago
• SoluMilken / Contextual-Bandit
  Contextual Bandit Algorithms (+Bandit Algorithms)
  ☆22Updated 5 years ago
• 011235813 / discrete_mean_field_game
  Experiments on a discrete mean field game model of population dynamics with reinforcement learning
  ☆31Updated last year
• siemens / policy_search_bb-alpha
  ☆69Updated 6 years ago
• CausalRL / DRL
  Deconfounding Reinforcement Learning in Observational Settings
  ☆48Updated 5 years ago
• alshedivat / lola
  Code release for Learning with Opponent-Learning Awareness and variations.
  ☆144Updated last year
• chrodan / tdlearn
  some common TD Learning algorithms
  ☆67Updated 4 years ago
• microsoft / StateDecoding
  Reinforcement Learning via Latent State Decoding
  ☆30Updated last year
• Breakend / DeepReinforcementLearningThatMatters
  Accompanying code for "Deep Reinforcement Learning that Matters"
  ☆153Updated 7 years ago
• alexrutar / banditvis
  A Python 3 Bandit Visualization Package
  ☆10Updated 7 years ago
• Riashat / Bayesian-Exploration-Deep-RL
  Bayesian Uncertainty Exploration in Deep Reinforcement Learning
  ☆18Updated 7 years ago
• ScottJordan / EvaluationOfRLAlgs
  This repository contains the code used in the paper Evaluating the Performance of Reinformcent Learning Algorithms
  ☆27Updated 3 years ago
• aa14k / Exploration-in-RL
  ☆28Updated 5 months ago
• ying-wen / malib_deprecated
  A Multi-agent Learning Framework
  ☆62Updated 3 years ago
• andrecianflone / thompson
  Thompson Sampling Tutorial
  ☆51Updated 5 years ago
• siemens / industrialbenchmark
  Industrial Benchmark
  ☆126Updated last year
• sanghack81 / SCMMAB-NIPS2018
  Structural Causal Bandit
  ☆20Updated 3 years ago
• david-abel / rl_abstraction
  Code for experimenting with state and action abstractions in reinforcement learning.
  ☆30Updated 3 years ago
• social-dilemma / multiagent
  Using RLLib and PycoLab to explore intelligent cooperative behavior in sequential social dilemmas
  ☆49Updated last year