Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.

This repo contains the implementation of some new papers on some advanced topics of machine learning e.g. meta-learning, reinforcement-learning, meta-reinforcement-learning, continual-learning and etc.

[ICRA 2023] Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot

Official code for TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations

[IROS 22'] Model-free Neural Lyapunov Control

Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning

[IROS 2023] Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot

Goal-conditioned reinforcement learning like 🔥

Code for the ICML 2023 paper "What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?".

Turn STL formulas into maps and planed paths, control robots with DRL controllers.

Official repository for Paper " Score Models for Offline Goal-Conditioned Reinforcement Learning" (ICLR 2024)

Random maze environments with different size and complexity for reinforcement learning research.

NeurIPS'24 Learning World Models for Unconstrained Goal Navigation

NeurIPS'24 Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning