Random maze environments with different size and complexity for reinforcement learning research.
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Updated
Apr 30, 2024 - Python
Random maze environments with different size and complexity for reinforcement learning research.
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.
Official repository for Paper " Score Models for Offline Goal-Conditioned Reinforcement Learning" (ICLR 2024)
Turn STL formulas into maps and planed paths, control robots with DRL controllers.
Goal-conditioned reinforcement learning like 🔥
Code for the ICML 2023 paper "What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?".
[IROS'23] Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot
Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning
Official code for TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations
[IROS 22'] Model-free Neural Lyapunov Control
[ICRA'23] Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot
Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
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