HeegerGao / DMILLinks
Code for Transfering Hierarchical Structure with Dual Meta Imitation Learning.
☆17Updated 3 years ago
Alternatives and similar repositories for DMIL
Users that are interested in DMIL are comparing it to the libraries listed below
Sorting:
- Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation (BUDS)☆57Updated 4 years ago
- CRIL: Continual Robot Imitation Learning via Generative Dynamics Model☆22Updated 4 years ago
- Code for the Behavior Retrieval Paper☆35Updated 2 years ago
- Code for https://jangirrishabh.github.io/lookcloser/☆40Updated 2 years ago
- TACO-RL: Latent Plans for Task-Agnostic Offline Reinforcement Learning☆30Updated 2 years ago
- ☆25Updated 3 years ago
- Benchmarking Repository for robosuite + SAC☆66Updated 4 years ago
- simulations used in "Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations"☆28Updated 2 years ago
- Skill-based Model-based Reinforcement Learning (CoRL 2022)☆64Updated 3 years ago
- ☆11Updated last year
- Official release of CompoSuite, a compositional RL benchmark☆50Updated last year
- Implementation of PatchAIL in the ICLR 2023 paper <Visual Imitation with Patch Rewards>☆14Updated 2 years ago
- This is the repo of "RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization"☆109Updated 9 months ago
- ICML'20: Intrinsic Reward Driven Imitation Learning via Generative Model☆15Updated 4 years ago
- KitchenShift: Evaluating Zero-Shot Generalization of Imitation-Based Policy Learning Under Domain Shifts☆19Updated 3 years ago
- Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization (CoRL 2021)☆35Updated 3 years ago
- Code for "DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks"☆22Updated last year
- Hierarchical Universal Language Conditioned Policies☆76Updated last year
- Official codebase for Manipulation Primitive-augmented reinforcement Learning (MAPLE)☆96Updated 2 years ago
- Coarse-to-fine Q-Network☆57Updated last year
- [NeurIPS 2021] PyTorch Code for Accelerating Robotic Reinforcement Learning with Parameterized Action Primitives☆79Updated 3 years ago
- ☆37Updated 3 months ago
- ☆55Updated 2 years ago
- Public implementation of "Learning from Suboptimal Demonstration via Self-Supervised Reward Regression" from CoRL'21☆23Updated 4 years ago
- ☆45Updated 2 years ago
- ☆32Updated last year
- Official implementation for the UOF paper (algorithm & environment)☆33Updated 2 years ago
- This repository contains the implementation of the PTR algorithm described in the paper: Pre-Training for Robots: Leveraging Diverse Mult…☆30Updated 3 years ago
- ☆28Updated 10 months ago
- Code for PolyTask: Learning Unified Policies through Behavior Distillation☆12Updated 2 years ago