Alternatives and similar repositories for easy-active-learning:

Users that are interested in easy-active-learning are comparing it to the libraries listed below

• 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…
  ☆29Updated 5 years ago
• dsbrown1331 / bayesianrex
  ☆18Updated 4 years ago
• orybkin / video-gcp
  Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"
  ☆44Updated 2 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
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆37Updated 2 years ago
• Wenxuan-Zhou / EPI
  Code for Environment Probing Interaction Policies [ICLR 2019]
  ☆29Updated 5 years ago
• yobibyte / amorpheus
  My Body Is A Cage
  ☆39Updated 3 years ago
• tgangwani / BMIL
  Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)
  ☆18Updated 2 years ago
• facebookresearch / CausalSkillLearning
  Codebase for project about unsupervised skill learning via variational inference and causality.
  ☆42Updated last year
• sharadmv / parasol
  ☆68Updated 3 years ago
• avisingh599 / roboverse
  A set of environments utilizing pybullet for simulation of robotic manipulation tasks.
  ☆25Updated 4 years ago
• ElisevanderPol / mdp-homomorphic-networks
  ☆28Updated 4 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 2 years ago
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆36Updated 4 years ago
• facebookresearch / entity-factored-rl
  Source code for the paper "Policy Architectures for Compositional Generalization in Control"
  ☆30Updated 2 years ago
• jannerm / gamma-models
  Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"
  ☆44Updated last year
• hai-h-nguyen / belief-grounded-network
  [CoRL 2020] Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability
  ☆9Updated 2 years ago
• s-tian / mbold
  Model-Based Visual Planning with Self-Supervised Functional Distances (ICLR 2021)
  ☆20Updated 3 years ago
• avisingh599 / cog
  [CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
  ☆32Updated 4 years ago
• sparisi / cbet
  Change-Based Exploration Transfer
  ☆36Updated 2 years ago
• srsohn / msgi
  ICLR 2020 Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies
  ☆18Updated 4 years ago
• roosephu / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆55Updated 5 years ago
• rlworkgroup / gym-sawyer
  Sawyer environments for reinforcement learning using the OpenAI Gym interface (EXPERIMENTAL)
  ☆37Updated 5 years ago
• NVlabs / sim-parameter-estimation
  The code accompaniment for the CoRL 2020 paper: A User's Guide to Calibrating Robotics Simulators (https://arxiv.org/abs/2011.08985), fro…
  ☆29Updated 4 years ago
• mklissa / phi_gcn
  Reward Propagation using Graph Convolutional Networks
  ☆13Updated 3 years ago
• RLAgent / state-marginal-matching
  Efficient Exploration via State Marginal Matching (2019)
  ☆67Updated 5 years ago
• HumanCompatibleAI / learning_biases
  Infer how suboptimal agents are suboptimal while planning, for example if they are hyperbolic time discounters.
  ☆24Updated 4 years ago
• jcoreyes / OP3
  Entity Abstraction in Visual Model-Based Reinforcement Learning
  ☆56Updated 4 years ago
• CDMCH / gym-fetch-stack
  ☆22Updated 2 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated 8 months ago