tgangwani / SelfImitationDiverse

Related projects: ⓘ

• russellmendonca / maesn_suite
  ☆41Updated 5 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆30Updated 4 years ago
• nnaisense / MAGE
  Learning Action-Value Gradients in Model-based Policy Optimization
  ☆31Updated 3 years ago
• russellmendonca / mier_public
  ☆13Updated last year
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆37Updated 3 years ago
• roosephu / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆55Updated 5 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆22Updated 5 years ago
• Ji4chenLi / Multi-Task-Batch-RL
  ☆23Updated last year
• taodav / nsrs
  Code for the paper Novelty Search in Representational Space for Sample Efficient Exploration presented at NeurIPS 2020.
  ☆14Updated 2 months ago
• bhairavmehta95 / data-efficient-hrl
  Implementation of Data Efficient Reinforcement Learning in Pytorch
  ☆20Updated 5 years ago
• apexrl / COIL
  Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"
  ☆17Updated last year
• suyoung-lee / Episodic-Backward-Update
  Implementation of "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update", NeurIPS 2019.
  ☆16Updated 4 years ago
• sfujim / SR-DICE
  Author's PyTorch implementation of SR-DICE for marginalized importance sampling
  ☆15Updated 2 years ago
• kaixin96 / mixreg
  Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization
  ☆32Updated 3 years ago
• Wenxuan-Zhou / EPI
  Code for Environment Probing Interaction Policies [ICLR 2019]
  ☆29Updated 5 years ago
• KAIST-AILab / gmmil
  Contains an implementation of "Imitation Learning via Kernel Mean Embedding (2018, AAAI)"
  ☆10Updated 5 years ago
• bhiziroglu / Language-as-an-Abstraction-for-Hierarchical-Deep-Reinforcement-Learning
  PyTorch Implementation of "Language as an Abstraction for Hierarchical Deep Reinforcement Learning" paper
  ☆23Updated 2 years ago
• RockySJ / ampo
  ☆14Updated 3 years ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆34Updated 4 years ago
• tgangwani / RL-Indirect-imitation
  Pytorch code for "State-only Imitation with Transition Dynamics Mismatch" (ICLR 2020)
  ☆19Updated 4 years ago
• tianjunz / NovelD
  ☆35Updated 2 years ago
• seungjaeryanlee / rl-exploration
  Reinforcement Learning papers on exploration methods.
  ☆20Updated 3 years ago
• sparisi / cbet
  Change-Based Exploration Transfer
  ☆35Updated 2 years ago
• wensun / Imitation-Learning-from-Observation
  ☆22Updated last year
• orybkin / video-gcp
  Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"
  ☆44Updated last year
• lhao499 / taming-maml
  Taming MAML: efficient unbiased meta-reinforcement learning
  ☆28Updated last year
• yudasong / HyQ
  Official code repo for paper: Hybrid RL: Using both offline and online data can make RL efficient.
  ☆22Updated last year
• jsikyoon / bmaml_rl
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆19Updated last year
• psclklnk / spdl
  Source code for the Self-Paced Deep Reinforcement Learning Experiments
  ☆30Updated last year
• rmrafailov / LOMPO
  Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models
  ☆28Updated 3 years ago