Alternatives and similar repositories for discrete-off-policy-evaluation

Users that are interested in discrete-off-policy-evaluation are comparing it to the libraries listed below

• causal-rl-anonymous / causal-rl
  ☆43Updated 3 years ago
• nanavatirutu / CausalBandits
  Project on Causal Machine learning CS 7290
  ☆16Updated 5 years ago
• google-research / deep_ope
  ☆86Updated 10 months ago
• sanghack81 / SCMMAB-NIPS2018
  Structural Causal Bandit
  ☆24Updated 3 years ago
• TomZahavy / CB_AE_DQN
  Contextual Bandits Action Elimination DQN
  ☆21Updated 6 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• YRussac / WeightedLinearBandits
  Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"
  ☆17Updated 5 years ago
• rjagerman / wsdm2019-nonstationary
  Non-stationary Off-policy Evaluation
  ☆13Updated 6 years ago
• CausalML / DoubleReinforcementLearningMDP
  ☆12Updated 3 weeks ago
• clinicalml / gumbel-max-scm
  Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)
  ☆43Updated 4 years ago
• yfletberliac / adversarially-guided-actor-critic
  AGAC: Adversarially Guided Actor-Critic
  ☆49Updated 3 years ago
• usaito / icml2022-mips
  (ICML2022) Off-Policy Evaluation for Large Action Spaces via Embeddings
  ☆20Updated 2 years ago
• microsoft / StateDecoding
  Reinforcement Learning via Latent State Decoding
  ☆30Updated last year
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• boschresearch / DD_OPG
  Implementation prototype of the Deep Deterministic Off-Policy Gradient (DD-OPG) method.
  ☆11Updated 5 years ago
• dido1998 / CausalMBRL
  Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
  ☆48Updated 3 years ago
• qlan3 / Explorer
  Explorer is a PyTorch reinforcement learning framework for exploring new ideas.
  ☆92Updated last month
• Riashat / Bayesian-Exploration-Deep-RL
  Bayesian Uncertainty Exploration in Deep Reinforcement Learning
  ☆18Updated 7 years ago
• davidbrandfonbrener / onestep-rl
  ☆42Updated 3 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 7 months ago
• johannah / bootstrap_dqn
  Implementation of Bootstrap DQN and Randomized Prior Functions on ALE
  ☆55Updated 2 months ago
• dtak / POPCORN-POMDP
  Implementation of "POPCORN: Partially Observed Prediction Constrained Reinforcement Learning" (Futoma, Hughes, Doshi-Velez, AISTATS 2020)
  ☆12Updated 4 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆22Updated 2 years ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆34Updated 5 years ago
• clvoloshin / COBS
  OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.
  ☆61Updated 2 years ago
• aviralkumar2907 / BEAR
  Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction
  ☆160Updated 4 years ago
• neeharperi / PreferenceNet
  PreferenceNet: Encoding Human Preferences in Auction Design With Deep Learning
  ☆16Updated 3 years ago
• LinZichuan / AdMRL
  Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)
  ☆34Updated 4 years ago
• epignatelli / discovering-reinforcement-learning-algorithms
  A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…
  ☆21Updated 4 years ago
• ElisevanderPol / PRAE
  Plannable Approximations to MDP Homomorphisms: Equivariance under Actions
  ☆30Updated 4 years ago