Alternatives and similar repositories for exploring_meta

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

• google-deepmind / active_ops
  ☆32Updated last year
• younggyoseo / trajectory_mcl
  Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)
  ☆39Updated 4 years ago
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆32Updated 5 years ago
• keynans / HypeRL
  Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)
  ☆24Updated 4 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 2 months ago
• Adaptive-RL / AdaRL-code
  Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…
  ☆40Updated last year
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated 2 years ago
• amazon-science / meta-q-learning
  Code for the paper "Meta-Q-Learning"( ICLR 2020)
  ☆103Updated 3 years ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆29Updated 3 years ago
• polixir / causal-mbrl
  Toolkit of Causal Model-based Reinforcement Learning.
  ☆32Updated 2 years ago
• haoliuhl / taming-maml
  Taming MAML: efficient unbiased meta-reinforcement learning
  ☆30Updated 3 years ago
• psclklnk / spdl
  Source code for the Self-Paced Deep Reinforcement Learning Experiments
  ☆32Updated 2 years ago
• uncharted-technologies / risk-and-uncertainty
  Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"
  ☆30Updated 2 years ago
• Cranial-XIX / metric-residual-network
  Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning
  ☆18Updated 2 years ago
• yfletberliac / adversarially-guided-actor-critic
  AGAC: Adversarially Guided Actor-Critic
  ☆48Updated 4 years ago
• amazon-science / replay-based-recurrent-rl
  Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"
  ☆33Updated 2 years ago
• rmst / rlrd
  PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)
  ☆42Updated 3 years ago
• Ji4chenLi / Multi-Task-Batch-RL
  ☆26Updated 2 years ago
• gyh75520 / Relational_DRL
  Implementation of Relational Deep Reinforcement Learning
  ☆25Updated 5 years ago
• NagisaZj / MetaCURE-Public
  ☆16Updated 2 years ago
• PeideHuang / gradient
  Code base for NeurIPS 2022 paper Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.
  ☆11Updated 2 years ago
• luckeciano / transformers-metarl
  Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022
  ☆63Updated 2 years ago
• rraileanu / idaac
  ☆54Updated last year
• Lifelong-ML / LPG-FTW
  ☆20Updated 3 years ago
• ben-eysenbach / mnm
  Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"
  ☆20Updated 4 years ago
• jsikyoon / bmaml_rl
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆20Updated 2 years ago
• younggyoseo / CaDM
  CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning
  ☆63Updated 5 years ago
• llan-ml / tesp
  Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"
  ☆34Updated 6 years ago
• manantomar / Mirror-Descent-Policy-Optimization
  Mirror Descent Policy Optimization
  ☆39Updated 4 years ago
• martius-lab / cid-in-rl
  Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…
  ☆46Updated 3 years ago