Alternatives and similar repositories for policies_logic_programs

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

• 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
• KyriacosShiarli / taco
  ☆25Updated 6 years ago
• HumanCompatibleAI / learning_biases
  Infer how suboptimal agents are suboptimal while planning, for example if they are hyperbolic time discounters.
  ☆25Updated 5 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago
• nathangrinsztajn / Box-World
  Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"
  ☆47Updated 2 years ago
• rllabmcgill / rlcourse-march-17-hugobb
  rlcourse-march-17-hugobb created by GitHub Classroom
  ☆16Updated last year
• philipjball / OffCon3
  📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)
  ☆24Updated 4 years ago
• ronuchit / pddlgym_planners
  PDDL planner interface for PDDLGym.
  ☆33Updated 3 months ago
• geyang / plan2vec
  Public Release of Plan2vec Implementation in pyTorch
  ☆57Updated 3 years ago
• google-deepmind / dm_construction
  ☆27Updated 4 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆57Updated 2 years ago
• orybkin / video-gcp
  Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"
  ☆45Updated 2 years ago
• frt03 / inference-based-rl
  Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning (NeurIPS2021)
  ☆20Updated 4 years ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆32Updated 4 years ago
• aibasel / pyperplan
  A lightweight STRIPS planner written in Python.
  ☆119Updated last year
• jannerm / gamma-models
  Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"
  ☆45Updated 2 years ago
• caelan / pyplanners
  AI planners written in Python
  ☆33Updated 4 years ago
• srsohn / msgi
  ICLR 2020 Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies
  ☆18Updated 5 years ago
• qxcv / asnets
  Source for Action Schema Networks paper (AAAI'18)
  ☆32Updated 2 years ago
• nnaisense / MAX
  Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
  ☆79Updated 6 years ago
• pairlab / vagram
  [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.
  ☆24Updated 2 years ago
• HumanCompatibleAI / evaluating-rewards
  Library to compare and evaluate reward functions
  ☆67Updated 2 years ago
• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 4 years ago
• montrealrobotics / unsupervised-adr
  Accompanying repository for Unsupervised Active Domain Randomization in Goal-Directed RL
  ☆12Updated 5 years ago
• Stanford-ILIAD / batch-active-preference-based-learning
  Companion code to CoRL 2018 paper: E Bıyık, D Sadigh. "Batch Active Preference-Based Learning of Reward Functions". Conference on Robot L…
  ☆30Updated 6 years ago
• tseyde / decqn
  ☆35Updated 2 years ago
• facebookresearch / icp-block-mdp
  Invariant Causal Prediction for Block MDPs
  ☆44Updated 5 years ago
• aig-upf / universal-pddl-parser
  An algorithm for parsing any planning problem in PDDL format
  ☆20Updated 2 years ago
• pucrs-automated-planning / goal-plan-recognition-dataset
  Datasets for Goal and Plan Recognition using Classical Planning Domains.
  ☆27Updated 2 weeks ago