Alternatives and similar repositories for XAI-tutorial

Users that are interested in XAI-tutorial are comparing it to the libraries listed below

• ema-marconato / NeSy-CL
  Codebase for Neuro-Symbolic Continual Learning.
  ☆22Updated last year
• ml-research / NeSyConceptLearner
  ☆19Updated 2 years ago
• jaromiru / sr-drl
  Implementation of Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks
  ☆25Updated last year
• ivegner / PyDSRL
  Faithful Python implementation of the paper "Towards Deep Symbolic Reinforcement Learning" by Garnelo et al.
  ☆13Updated 4 years ago
• hkrsnd / dilp-st
  ☆10Updated 4 years ago
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated last year
• EoinKenny / Prototype-Wrapper-Network-ICLR23
  ☆11Updated 6 months ago
• dmitrykazhdan / MARLeME
  General-purpose library for extracting interpretable models from Multi-Agent Reinforcement Learning systems
  ☆21Updated 5 years ago
• StanfordVL / ac-teach
  Code for the CoRL 2019 paper AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers
  ☆24Updated 2 years ago
• StanfordVL / causal_induction
  Codebase for "Causal Induction from Visual Observations for Goal-Directed Tasks"
  ☆13Updated 5 years ago
• younggyoseo / trajectory_mcl
  Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)
  ☆39Updated 4 years ago
• automl / TempoRL
  ☆16Updated 3 years ago
• dsbrown1331 / bayesianrex
  ☆19Updated 4 years ago
• orybkin / video-gcp
  Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"
  ☆44Updated 2 years ago
• mklissa / phi_gcn
  Reward Propagation using Graph Convolutional Networks
  ☆13Updated 4 years ago
• automl / HPO_for_RL
  This is the code of reproducing the results of our paper: On the importance of Hyperparameter Optimization for Model-based Reinforcement …
  ☆15Updated 3 years ago
• IBM / grammar2pddl
  Code that translates grammar into PDDL, runs a planner to produce multiple plans, translates plans into trainable lale pipelines and trai…
  ☆18Updated last month
• dido1998 / CausalMBRL
  Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
  ☆48Updated 3 years ago
• dair-iitd / symnet
  ☆9Updated 2 years ago
• Feryal / automated-curriculum-rl
  ☆31Updated 6 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• reactive-systems / deepltl
  Official implementation of Teaching Temporal Logics to Neural Networks (https://arxiv.org/abs/2003.04218)
  ☆30Updated 3 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆39Updated 2 years ago
• djstrouse / InfoMARL
  using information theory to encourage agents to cooperate and compete
  ☆19Updated 6 years ago
• grockious / deepsynth
  DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning
  ☆22Updated 4 years ago
• yuchen-x / MacroMARL
  ☆21Updated last year
• atavakol / action-hypergraph-networks
  (ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices
  ☆23Updated 4 years ago
• IBM / LOA
  Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games
  ☆46Updated last month
• TomZahavy / GrayingTheBox
  Code implementation of: "Graying the black box: Understanding DQNs"
  ☆20Updated 8 years ago
• azreasoners / NeurASP
  ☆45Updated last year