Alternatives and similar repositories for causal_induction:

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

• facebookresearch / entity-factored-rl
  Source code for the paper "Policy Architectures for Compositional Generalization in Control"
  ☆29Updated 2 years ago
• stanford-iris-lab / batch-exploration
  ☆12Updated 2 years ago
• orybkin / video-gcp
  Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"
  ☆44Updated 2 years ago
• ben-eysenbach / info_geometry
  Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"
  ☆20Updated 3 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…
  ☆28Updated 5 years ago
• Stanford-ILIAD / ELLA
  Reward shaping approach for instruction following settings, leveraging language at multiple levels of abstraction.
  ☆19Updated 3 years ago
• avisingh599 / roboverse
  A set of environments utilizing pybullet for simulation of robotic manipulation tasks.
  ☆25Updated 3 years ago
• tgangwani / BMIL
  Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)
  ☆18Updated 2 years ago
• akakzia / decstr
  ☆15Updated 3 years ago
• Wenxuan-Zhou / EPI
  Code for Environment Probing Interaction Policies [ICLR 2019]
  ☆29Updated 5 years ago
• avisingh599 / cog
  [CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
  ☆32Updated 4 years ago
• alec-tschantz / vime
  VIME: Variational Information Maximizing Exploration
  ☆9Updated 4 years ago
• Mehooz / BIRD_code
  Code for paper "Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning".
  ☆14Updated 3 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆36Updated 2 years ago
• kouroshHakha / fist
  ☆10Updated 2 years ago
• robbycostales / HAL
  Code for "Possibility Before Utility: Learning And Using Hierarchical Affordances" ICLR 2022
  ☆14Updated 2 years ago
• CDMCH / gym-fetch-stack
  ☆21Updated 2 years ago
• suyoung-lee / LDM
  Latent Dynamics Mixture, NeurIPS 2021
  ☆17Updated 2 years ago
• dsbrown1331 / bayesianrex
  ☆18Updated 4 years ago
• clvrai / skild
  ☆21Updated 2 years ago
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆34Updated 2 years ago
• omron-sinicx / action-constrained-RL-benchmark
  ☆21Updated 8 months ago
• kevintli / mural
  Official implementation of MURAL (ICML 2021)
  ☆16Updated 3 years ago
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆32Updated last year
• Yusufma03 / CVRL
  code for CoRL 2020 paper "Contrastive Variational Model-Based Reinforcement Learning for Complex Observations"
  ☆24Updated 3 years ago
• utiasSTARS / lfgp
  Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Source Code
  ☆15Updated 4 months ago
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated last year
• ramp-kits / rl_simulator
  Model-based reinforcement learning (generative simulator models and planning agents)
  ☆15Updated 3 years ago
• sparisi / cbet
  Change-Based Exploration Transfer
  ☆36Updated 2 years ago
• keynans / HypeRL
  Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)
  ☆25Updated 3 years ago