CausalML / DoubleReinforcementLearningMDP

Related projects: ⓘ

• causal-rl-anonymous / causal-rl
  ☆43Updated 2 years ago
• Riashat / Bayesian-Exploration-Deep-RL
  Bayesian Uncertainty Exploration in Deep Reinforcement Learning
  ☆17Updated 7 years ago
• YRussac / WeightedLinearBandits
  Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"
  ☆17Updated 4 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆47Updated 2 years ago
• google-research / deep_ope
  ☆85Updated last month
• Maluuba / srw
  Dead-ends and Secure Exploration in Reinforcement Learning
  ☆11Updated 5 years ago
• dquail / NonStationaryBandit
  Non stationary bandit for experiments with Reinforcement Learning
  ☆34Updated 7 years ago
• RonanFR / UCRL
  ☆25Updated 5 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆30Updated 4 years ago
• djstrouse / InfoMARL
  using information theory to encourage agents to cooperate and compete
  ☆19Updated 5 years ago
• jannerm / gamma-models
  Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"
  ☆39Updated last year
• david-abel / rl_abstraction
  Code for experimenting with state and action abstractions in reinforcement learning.
  ☆30Updated 3 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆66Updated 6 years ago
• DavidJanz / successor_uncertainties_atari
  Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…
  ☆19Updated last year
• boschresearch / DD_OPG
  Implementation prototype of the Deep Deterministic Off-Policy Gradient (DD-OPG) method.
  ☆11Updated 5 years ago
• steindoringi / MetaLearningGP
  ☆26Updated this week
• iosband / TabulaRL
  ☆65Updated 6 months ago
• yaoliucs / PQL
  Author's PyTorch implementation of paper "Provably Good Batch Reinforcement Learning Without Great Exploration"
  ☆10Updated 3 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 6 years ago
• microsoft / StateDecoding
  Reinforcement Learning via Latent State Decoding
  ☆30Updated last year
• CausalRL / DRL
  Deconfounding Reinforcement Learning in Observational Settings
  ☆48Updated 5 years ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆34Updated 4 years ago
• YuhangSong / Arena-Baselines-Depreciated
  ☆35Updated this week
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆31Updated 3 years ago
• justinjfu / diagnosing_qlearning
  Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.
  ☆19Updated 5 years ago
• debmandal / RL-Causality
  References at the Intersection of Causality and Reinforcement Learning
  ☆88Updated 4 years ago
• davidbrandfonbrener / onestep-rl
  ☆39Updated 3 years ago
• kazizzad / BDQN-MxNet-Gluon
  Efficient Exploration through Bayesian Deep Q-Networks
  ☆35Updated 6 years ago
• rlai-lab / Regularized-GradientTD
  Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.
  ☆35Updated 3 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 4 years ago