Alternatives and similar repositories for MMAML-rl:

Users that are interested in MMAML-rl are comparing it to the libraries listed below

• vuoristo / MMAML
  ☆19Updated 5 years ago
• StanfordASL / moca
  ☆31Updated 2 years ago
• chandar-lab / Lifelong-Hanabi
  A Continual Multi-agent RL testbed based on Hanabi
  ☆30Updated 3 years ago
• haoliuhl / taming-maml
  Taming MAML: efficient unbiased meta-reinforcement learning
  ☆29Updated 2 years ago
• jsikyoon / bmaml_rl
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆20Updated 2 years ago
• tgangwani / SelfImitationDiverse
  Tensorflow code for "Learning Self-Imitating Diverse Policies" (ICLR 2019)
  ☆19Updated 4 years ago
• jsikyoon / bmaml
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆60Updated 5 years ago
• mhw32 / meta-inference-public
  A PyTorch implementation of "Meta-Amortized Variational Inference and Learning" (https://arxiv.org/abs/1902.01950)
  ☆14Updated 4 years ago
• kaixin96 / mixreg
  Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization
  ☆32Updated 4 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• yudasong / briee
  Representation Learning in RL
  ☆16Updated 2 years ago
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated last year
• ben-eysenbach / info_geometry
  Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"
  ☆20Updated 3 years ago
• amazon-science / replay-based-recurrent-rl
  Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"
  ☆32Updated last year
• huaxiuyao / HSML_Dynamic
  HSML Dynamic version for ICML 2019
  ☆12Updated 5 years ago
• Pervasive-AI-Lab / crlmaze
  Continual Reinforcement Learning in 3D Non-stationary Environments
  ☆37Updated 5 years ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆33Updated 5 years ago
• suraj-nair-1 / goal_aware_prediction
  Code for Goal-Aware Prediction: Learning to Model what Matters
  ☆20Updated 4 years ago
• ahjwang / messenger-emma
  Implements the Messenger environment and EMMA model.
  ☆23Updated last year
• mingzhang-yin / Meta-learning-without-memorization
  A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…
  ☆21Updated last year
• yudasong / HyQ
  Official code repo for paper: Hybrid RL: Using both offline and online data can make RL efficient.
  ☆24Updated 2 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 2 years ago
• sfujim / SR-DICE
  Author's PyTorch implementation of SR-DICE for marginalized importance sampling
  ☆15Updated 3 years ago
• ChristosKap / policy_consolidation
  Code for Policy Consolidation for Continual Reinforcement Learning
  ☆10Updated 5 years ago
• mingzhang-yin / ARM-gradient
  Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
  ☆28Updated 5 years ago
• Continual-Lifelong-Learning / resources
  ☆17Updated 5 years ago
• phy-q / benchmark
  Phy-Q: A Testbed for Physical Reasoning
  ☆43Updated 6 months ago
• microsoft / segar
  Sandbox environment for generalizable agent research
  ☆24Updated 2 years ago
• facebookresearch / InvarianceUnitTests
  Toy datasets to evaluate algorithms for domain generalization and invariance learning.
  ☆42Updated 3 years ago
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆36Updated 4 years ago