Search Results for author: Xintong Yang

Found 3 papers, 2 papers with code

Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning Perspective

no code implementations9 Mar 2023 Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai

As a popular concept proposed in the field of psychology, affordance has been regarded as one of the important abilities that enable humans to understand and interact with the environment.

reinforcement-learning Reinforcement Learning (RL)

Abstract Demonstrations and Adaptive Exploration for Efficient and Stable Multi-step Sparse Reward Reinforcement Learning

1 code implementation19 Jul 2022 Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai

Although Deep Reinforcement Learning (DRL) has been popular in many disciplines including robotics, state-of-the-art DRL algorithms still struggle to learn long-horizon, multi-step and sparse reward tasks, such as stacking several blocks given only a task-completion reward signal.

An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet

2 code implementations12 May 2021 Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai

This work re-implements the OpenAI Gym multi-goal robotic manipulation environment, originally based on the commercial Mujoco engine, onto the open-source Pybullet engine.

Multi-Goal Reinforcement Learning OpenAI Gym +1

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