Just recording papers I read everyday 📚
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Updated
Jun 3, 2024
Just recording papers I read everyday 📚
PyTorch implementation (with up-to-date tooling) of the SAM / DAC algorithm
Open-source simulator for autonomous driving research.
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.
Papers, codes, datasets, applications, tutorials.
Minimal Repo to use the continuous-time Diffusion Policy from BESO
Welcome to the website of Human-Interactive Robotics Lab @ IISc Bengaluru
OpenDILab Decision AI Engine
code for "Detecting Anomalous Agent Decision Sequences Based on Offline Imitation Learning"
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL),including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
A list of awesome and popular robot learning environments
Clean PyTorch implementations of imitation and reward learning algorithms
PyTorch implementation of our work: "Where is the Grass Greener? Revisiting Generalized Policy Iteration for Offline Reinforcement Learning"
PyTorch implementation of our work: "Optimality Inductive Biases and Agnostic Guidelines for Offline Reinforcement Learning"
Autonomous driving agent in Carla simulator leveraging IL and RL techniques.
From One Hand to Multiple Hands: Imitation Learning for Dexterous Manipulation from Single-Camera Teleoperation, RA-L IROS 2022
[RSS 2024] Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation
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