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)☆54Updated 3 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
- Benchmarking Repository for robosuite + SAC☆64Updated 3 years ago
- ☆25Updated 3 years ago
- Code for https://jangirrishabh.github.io/lookcloser/☆40Updated 2 years ago
- Skill-based Model-based Reinforcement Learning (CoRL 2022)☆60Updated 2 years ago
- simulations used in "Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations"☆28Updated 2 years ago
- ☆11Updated 9 months ago
- TACO-RL: Latent Plans for Task-Agnostic Offline Reinforcement Learning☆29Updated 2 years ago
- 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
- KitchenShift: Evaluating Zero-Shot Generalization of Imitation-Based Policy Learning Under Domain Shifts☆19Updated 3 years ago
- This is the repo of "RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization"☆107Updated 7 months ago
- ☆55Updated 4 years ago
- Official codebase for Manipulation Primitive-augmented reinforcement Learning (MAPLE)☆93Updated 2 years ago
- Code for Watch and Match: Supercharging Imitation with Regularized Optimal Transport☆82Updated 2 years ago
- Hierarchical Universal Language Conditioned Policies☆76Updated last year
- Code for "DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks"☆21Updated last year
- Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization (CoRL 2021)☆33Updated 3 years ago
- [NeurIPS 2021] PyTorch Code for Accelerating Robotic Reinforcement Learning with Parameterized Action Primitives☆79Updated 3 years ago
- Code for 'Mapping State Space using Landmarks for Universal Goal Reaching'.☆16Updated last year
- PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spot…☆43Updated last year
- ☆53Updated 2 years ago
- This repository contains the implementation of the PTR algorithm described in the paper: Pre-Training for Robots: Leveraging Diverse Mult…☆28Updated 2 years ago
- Pre-Trained Visual Representations for Control☆21Updated 3 years ago
- ICML'20: Intrinsic Reward Driven Imitation Learning via Generative Model☆15Updated 3 years ago
- ☆15Updated 2 weeks ago
- [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …☆40Updated last year
- ☆29Updated last year