lcswillems / automatic-curriculum

Related projects: ⓘ

• ajaytanwani / DIRL
  DIRL: Domain-Invariant Representation Learning
  ☆37Updated 3 years ago
• vuoristo / MMAML
  ☆19Updated 4 years ago
• chandar-lab / Lifelong-Hanabi
  A Continual Multi-agent RL testbed based on Hanabi
  ☆30Updated 3 years ago
• alinlab / oreo
  ☆23Updated 2 years ago
• LinZichuan / AdMRL
  Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)
  ☆32Updated 3 years ago
• pokaxpoka / rad_openaigym
  RAD: Reinforcement Learning with Augmented Data (code for state augmentation)
  ☆11Updated 3 years ago
• Xingyu-Lin / auxiliary-tasks-rl
  Code for the paper Adaptive Auxiliary Task Weighting for Reinforcement Learning
  ☆25Updated 4 years ago
• shiwj16 / SSINet
  A PyTorch implementation of SSINet.
  ☆16Updated 3 years ago
• two2tee / WorldModelPlanning
  ☆16Updated 3 years ago
• google-research / robel-scenes
  Shared MuJoCo simulation scenes and assets for ROBEL environments.
  ☆11Updated 4 years ago
• siddharthverma314 / clcp-neurips-2020
  Code for Continual Learning of Control Primitives
  ☆18Updated 3 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated last month
• kkelchte / task_free_continual_learning
  This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.
  ☆13Updated 5 years ago
• TonyLianLong / VAI-ReinforcementLearning
  [CVPR 2021] Official Implementation of VAI: Unsupervised Visual Attention and Invariance for Reinforcement Learning
  ☆25Updated 2 years ago
• alessiabertugli / FUSION
  PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"
  ☆20Updated 3 years ago
• CannyLab / causal_overhypotheses
  Code for Dataset and Benchmarks Submission, Neurips 2022
  ☆13Updated 2 years ago
• Continual-Lifelong-Learning / resources
  ☆17Updated 4 years ago
• microsoft / conservative-uncertainty-estimation-random-priors
  Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)
  ☆21Updated last year
• tianjunz / MADE
  ☆18Updated 3 years ago
• xu-ji / ARM
  Automatic Recall Machines: Internal Replay, Continual Learning and the Brain
  ☆11Updated 4 years ago
• s-tian / mbold
  Model-Based Visual Planning with Self-Supervised Functional Distances (ICLR 2021)
  ☆19Updated 3 years ago
• IndustAI / learning-group-structure
  Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"
  ☆14Updated last year
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆34Updated 4 years ago
• Mehooz / BIRD_code
  Code for paper "Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning".
  ☆14Updated 3 years ago
• sungyubkim / amortized_svgd
  A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN
  ☆18Updated 5 years ago
• ermongroup / dail
  The Official Implementation of Domain Adaptive Imitation Learning (DAIL)
  ☆22Updated 3 years ago
• jsikyoon / bmaml_rl
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆19Updated last year
• yaohungt / Pointwise_Dependency_Neural_Estimation
  ☆19Updated 4 years ago
• kaixin96 / mixreg
  Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization
  ☆32Updated 3 years ago
• facebookresearch / RRL
  Code for RRL (https://sites.google.com/view/abstractions4rl)
  ☆27Updated 2 years ago