tianjunz / MADE

Related projects: ⓘ

• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 2 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated last month
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆30Updated 4 years ago
• epignatelli / discovering-reinforcement-learning-algorithms
  A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…
  ☆20Updated 3 years ago
• ben-eysenbach / info_geometry
  Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"
  ☆21Updated 2 years ago
• sfujim / SR-DICE
  Author's PyTorch implementation of SR-DICE for marginalized importance sampling
  ☆15Updated 2 years ago
• yudasong / briee
  Representation Learning in RL
  ☆16Updated 2 years ago
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆37Updated 3 years ago
• yiqiwang8177 / Official-codebase-for-Decision-Transducer
  This is the pytorch implementation of the UAI2023 paper "A Trajectory is Worth Three Sentences: Multimodal Transformer for Offline Reinf…
  ☆11Updated 11 months ago
• Stanford-ILIAD / Conventions-ModularPolicy
  PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021
  ☆14Updated 3 years ago
• LinZichuan / AdMRL
  Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)
  ☆32Updated 3 years ago
• flowersteam / EAGER
  ☆11Updated last year
• lhao499 / taming-maml
  Taming MAML: efficient unbiased meta-reinforcement learning
  ☆28Updated last year
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆26Updated 2 years ago
• TrentBrick / RewardConditionedUDRL
  Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies
  ☆16Updated 3 years ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆34Updated 4 years ago
• ruizhaogit / music
  Mutual Information State Intrinsic Control (ICLR 2021 Spotlight)
  ☆36Updated 3 years ago
• behaviorguidedRL / BGRL
  Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
  ☆24Updated 4 years ago
• pokaxpoka / rad_procgen
  RAD: Reinforcement Learning with Augmented Data (code for procgen experiments)
  ☆18Updated 3 years ago
• yobibyte / amorpheus
  My Body Is A Cage
  ☆37Updated 3 years ago
• KyriacosShiarli / taco
  ☆26Updated 5 years ago
• younggyoseo / trajectory_mcl
  Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)
  ☆39Updated 3 years ago
• IrisLi17 / self-imitation-via-reduction
  ☆17Updated 3 years ago
• s-tian / mbold
  Model-Based Visual Planning with Self-Supervised Functional Distances (ICLR 2021)
  ☆19Updated 3 years ago
• KyunghyunLee / aes-rl
  ☆17Updated 3 years ago
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆19Updated last year
• ben-eysenbach / mnm
  Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"
  ☆20Updated 2 years ago
• ml-jku / align-rudder
  Code to reproduce results on toy tasks and companion blog for the paper.
  ☆20Updated 2 years ago
• taodav / nsrs
  Code for the paper Novelty Search in Representational Space for Sample Efficient Exploration presented at NeurIPS 2020.
  ☆14Updated 2 months ago
• zzyunzhi / vds
  Code for Automatic Curriculum Learning through Value Disagreement
  ☆29Updated 4 years ago