Alternatives and similar repositories for gp_pref_elicit

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

• jparkerholder / ASEBO
  Code to run the ASEBO algorithm from the paper: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization... …
  ☆16Updated 4 years ago
• HumanCompatibleAI / population-irl
  (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards
  ☆28Updated 6 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 5 years ago
• XanderJC / scalable-birl
  Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.
  ☆48Updated 4 years ago
• Santara / stochastic_value_gradient
  Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]
  ☆25Updated 3 years ago
• facebookresearch / ContextualBO
  Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"
  ☆15Updated 4 years ago
• ermongroup / CalibratedModelBasedRL
  Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.
  ☆55Updated 6 years ago
• automl / LTO-CMA
  Code for the paper "Learning Step-Size Adaptation in CMA-ES"
  ☆11Updated 2 years ago
• wyjung0625 / p3s
  Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning
  ☆22Updated 5 years ago
• sisl / MPHRL
  Model Primitive Hierarchical Reinforcement Learning
  ☆13Updated 2 years ago
• david-abel / state_abstraction
  Code for abstracting, evaluating, and visualizing Markov Decision Processes.
  ☆10Updated 8 years ago
• sparisi / td-reg
  TD-Regularized Actor-Critic Methods
  ☆36Updated 5 years ago
• sferes2 / modular_QD
  **Sferes2 module** A unifying modular framework for Quality-Diversity algorithms
  ☆22Updated 4 years ago
• jinming99 / DGP-IRL
  Deep Gaussian Process for Inverse Reinforcement Learning
  ☆33Updated 8 years ago
• wyndwarrior / Sectar
  Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
  ☆97Updated 7 years ago
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆34Updated 6 years ago
• befelix / SafeOpt
  Safe Bayesian Optimization
  ☆149Updated 2 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago
• Stanford-ILIAD / active-preference-based-gpr
  Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"
  ☆39Updated last year
• dtak / hip-mdp-public
  Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning
  ☆32Updated 7 years ago
• schroederdewitt / mackrl
  Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)
  ☆32Updated 5 years ago
• johannesnauta / pytorch-pne
  PyTorch implementation of Probabilistic Network Ensembles on toy problems
  ☆23Updated 2 years ago
• wujian16 / TwoStep-BayesOpt
  NeurIPS 2019 Paper
  ☆11Updated 5 years ago
• zi-w / Max-value-Entropy-Search
  Max-value Entropy Search for Efficient Bayesian Optimization
  ☆77Updated 3 years ago
• zuoxingdong / DeepPILCO
  ☆54Updated 7 years ago
• lcalem / reproduction-soft-qlearning-mutual-information
  Reproduction of the paper "Soft Q-Learning with Mutual Information Regularization" CoRL 2019.
  ☆10Updated 6 years ago
• aravindr93 / robustRL
  Robust policy search algorithms which train on model ensembles
  ☆30Updated 8 years ago
• clvoloshin / constrained_batch_policy_learning
  ☆27Updated 5 years ago
• acguez / bamcp
  Bayes-Adaptive Monte-Carlo Planning algorithm
  ☆17Updated 12 years ago
• sebascuri / hucrl
  ☆30Updated last year