GitHub - rail-berkeley/serl: SERL: A Software Suite for Sample ...
网页2024年6月24日 · SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning. Webpage: https://serl-robot.github.io/. SERL provides a set of libraries, env wrappers, and examples to train RL policies for robotic manipulation tasks. The following sections describe how to use SERL.
SERL: 创新的强化学习套件，加速机器人技能学习 - 知乎
网页2024年1月31日 · SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning，代表着机器人强化学习领域的最新进展，由加州大学伯克利分校、华盛顿大学、斯坦福大学及Intrinsic Innovation LLC联合研发。 该套件致力于解决机器人学习新任务时的样本效率问题，通过先进的off-policy算法和仿真技术，显著提高了学习过程的效率和效果。 在传统强化学习（RL）方法中，智能体（Agent）需通过大量的试错来优化其行为策略，以 …
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement …
网页SERL is a ready-to-use software suite for robotic RL, featuring sample efficient off-policy algorithms, various reward specification methods, and advanced controller for popular robots. It includes example tasks such as PCB assembly, cable …
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement ...
网页2024年6月24日 · SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning. Webpage: https://serl-robot.github.io/. SERL provides a set of libraries, env wrappers, and examples to train RL policies for robotic manipulation tasks. The following sections describe how to use SERL. We will illustrate the usage with examples.
标题：提升机器人智能：探索SERL——高效样本强化学习软件套件 …
网页2024年6月8日 · SERL（Sample-Efficient Robotic Reinforcement Learning） 是一个强大的软件套件，专为实现机器人操纵任务的强化学习策略训练而设计。它提供了一系列库、环境包装器和示例，旨在优化采样效率，加速机器人学习进程。
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement ...
网页SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning Abstract: In recent years, significant progress has been made in the field of robotic reinforcement learning (RL), enabling methods that handle complex image observations, train in the real world, and incorporate auxiliary data, such as demonstrations and prior experience.
Title: SERL: A Software Suite for Sample-Efficient Robotic ...
网页2024年1月29日 · SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning. In recent years, significant progress has been made in the field of robotic reinforcement learning (RL), enabling methods that handle complex image observations, train in the real world, and incorporate auxiliary data, such as …
serl/README.md at main · serl-robot/serl - GitHub
网页A Software Suite for Sample-Efficient Robotic Reinforcement Learning - serl-robot/serl
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement …
网页2024年2月1日 · SERL consists of the following components: (1) a high-quality RL implementation that is geared towards real-world robotic learning and supports image observations and demonstrations; (2) implementations of several reward specification methods that are compatible with image observations, including classifiers and …
SERL: A Software Suite for Sample-Efficient Robotic ... - GitHub
网页SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning. Installation. Conda Environment: create an environment with conda create -n serl python=3.10. Recommended: Assume the machines have the lastest Nvdia drivers and CUDA Versions (either 12.1 or 11.x) Run. pip install --upgrade pip. pip install -e . # CUDA 12 installation.