Alternatives and similar repositories for banditvis

Users that are interested in banditvis are comparing it to the libraries listed below

• dquail / NonStationaryBandit
  Non stationary bandit for experiments with Reinforcement Learning
  ☆34Updated 8 years ago
• YRussac / WeightedLinearBandits
  Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"
  ☆17Updated 5 years ago
• RonanFR / UCRL
  ☆27Updated 6 years ago
• iurteaga / bandits
  Public repository for the work on bandit problems
  ☆23Updated last year
• flowersteam / geppg
  ☆35Updated 7 years ago
• rjagerman / wsdm2019-nonstationary
  Non-stationary Off-policy Evaluation
  ☆13Updated 6 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆51Updated 6 years ago
• dustinvtran / bayesrl
  A Python library for reinforcement learning using Bayesian approaches
  ☆54Updated 10 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆67Updated 7 years ago
• NiMlr / High-Dim-ES-RL
  Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies
  ☆28Updated 3 years ago
• agentmodels / agentmodels.org
  Modeling agents with probabilistic programs
  ☆67Updated 5 years ago
• david-abel / rl_abstraction
  Code for experimenting with state and action abstractions in reinforcement learning.
  ☆30Updated 4 years ago
• uber-research / Map-Elites-Evolutionary
  Map-Elites based on Evolution Strategies
  ☆32Updated 3 years ago
• AdeelMufti / RL-RND
  Full Chainer implementation of OpenAI's Reinforcement Learning using Random Network Distillation
  ☆31Updated 6 years ago
• mbchang / decentralized-rl
  Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)
  ☆43Updated 2 years ago
• brilee / python_uct
  Demo of UCT (MCTS) in Python / Numpy
  ☆88Updated 2 years ago
• tor / libbandit
  Library for Multi-Armed Bandit Algorithms
  ☆56Updated 8 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago
• MasterScrat / rl-insights
  🤖 Reinforcement Learning paper summaries, notebooks, and articles.
  ☆26Updated 5 years ago
• automl / LTO-CMA
  Code for the paper "Learning Step-Size Adaptation in CMA-ES"
  ☆11Updated 2 years ago
• microsoft / StateDecoding
  Reinforcement Learning via Latent State Decoding
  ☆29Updated 2 years ago
• uber-research / Evolvability-ES
  ☆14Updated 6 years ago
• TheClimateCorporation / dfo-algorithm
  Blackbox derivative-free optimization with DFO-TR algorithm
  ☆26Updated 10 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 5 years ago
• wulfebw / async_rl
  Python implementation of tabular asynchronous actor critic
  ☆11Updated 9 years ago
• ermongroup / best-arm-delayed
  Code for "Best arm identification in multi-armed bandits with delayed feedback", AISTATS 2018.
  ☆19Updated 7 years ago
• david-abel / rl_info_theory
  A collection of code investigating the use of information theory for abstractions in RL
  ☆16Updated 6 years ago
• flowersteam / Unsupervised_Goal_Space_Learning
  Code to reproduce the results in the "Unsupervised Learning of Goal Spaces for Intrinsically Motivated Exploration"
  ☆21Updated 7 years ago
• njustesen / a2c_gvgai
  A2C for GVG-AI
  ☆22Updated 6 years ago
• zalanborsos / online-variance-reduction
  Online Variance Reduction
  ☆14Updated 6 years ago