Alternatives and similar repositories for automatic-curriculum

Users that are interested in automatic-curriculum are comparing it to the libraries listed below

• alinlab / oreo
  ☆24Updated 4 years ago
• shwinshaker / LipGrow
  An adaptive training algorithm for residual network
  ☆17Updated 5 years ago
• nv-research-israel / causal_comp
  This repository hosts the dataset and source code for "A causal view of compositional zero-shot recognition". Yuval Atzmon, Felix Kreuk, …
  ☆27Updated 4 years ago
• Xingyu-Lin / auxiliary-tasks-rl
  Code for the paper Adaptive Auxiliary Task Weighting for Reinforcement Learning
  ☆26Updated 5 years ago
• kaixin96 / mixreg
  Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization
  ☆35Updated 5 years ago
• chandar-lab / Lifelong-Hanabi
  A Continual Multi-agent RL testbed based on Hanabi
  ☆32Updated 4 years ago
• tianheyu927 / dpn
  Code for "Unsupervised Visuomotor Control through Distributional Planning Networks"
  ☆10Updated 6 years ago
• ssnl / poisson_quasimetric_embedding
  Open source code for paper "On the Learning and Learnability of Quasimetrics".
  ☆32Updated 3 years ago
• vuoristo / MMAML
  ☆19Updated 6 years ago
• s-tian / mbold
  Model-Based Visual Planning with Self-Supervised Functional Distances (ICLR 2021)
  ☆20Updated 4 years ago
• yaohungt / Pointwise_Dependency_Neural_Estimation
  ☆21Updated 5 years ago
• hengyuan-hu / jax-vs-pytorch
  ☆13Updated 11 months ago
• pclucas14 / adaptive-quantization-modules
  Code for "Online Learned Continual Compression with Adaptive Quantization Modules"
  ☆27Updated 5 years ago
• xu-ji / ARM
  Automatic Recall Machines: Internal Replay, Continual Learning and the Brain
  ☆11Updated 5 years ago
• Continual-Lifelong-Learning / resources
  ☆17Updated 5 years ago
• kkelchte / task_free_continual_learning
  This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.
  ☆13Updated 6 years ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆34Updated 6 years ago
• shiwj16 / SSINet
  A PyTorch implementation of SSINet.
  ☆16Updated 5 years ago
• tianjunz / MADE
  ☆19Updated 4 years ago
• stepjam / TecNets
  Official code for "Task-Embedded Control Networks for Few-Shot Imitation Learning".
  ☆45Updated 6 years ago
• AI-secure / multi-task-learning
  Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…
  ☆68Updated 4 years ago
• ajaytanwani / DIRL
  DIRL: Domain-Invariant Representation Learning
  ☆40Updated 5 years ago
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated 2 years ago
• mshukor / EvALign-ICL
  [ICLR2024] (EvALign-ICL Benchmark) Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context …
  ☆22Updated last year
• AllanYangZhou / generative-invariance-transfer
  ☆26Updated 3 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆17Updated last year
• siddharthverma314 / clcp-neurips-2020
  Code for Continual Learning of Control Primitives
  ☆18Updated 5 years ago
• JindongJiang / SCALOR
  Official Release of ICLR 2020 paper "SCALOR: Generative World Models with Scalable Object Representations"
  ☆49Updated 2 years ago
• rcheng805 / CORE-RL
  Code implementing the CORE-RL algorithm with DDPG, PPO, and TRPO. See the paper "Control Regularization for Reduced Variance Reinforcemen…
  ☆32Updated 5 years ago
• montrealrobotics / La-MAML
  Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"
  ☆80Updated 5 years ago