Action Space
فضاء الأفعال
مجموعة كل الأفعال الممكنة التي يستطيع الوكيل تنفيذها في أي خطوة زمنية. في ReAct يُوسَّع هذا الفضاء بإضافة أفكار اللغة الطبيعية إلى جانب أفعال البيئة.
The set of all possible actions an agent can take at any given time step. In ReAct this space is augmented by adding natural language thoughts alongside environment actions.
Also translated asمجال الأفعال، حيّز الإجراءات المتاحة
First appears in this corpus in: Trust Region Policy Optimization (2015)
Appears in these papers
- Grandmaster Level in StarCraft II Using Multi-Agent Reinforcement Learning2019in the sky ✦
- Discovering Faster Matrix Multiplication Algorithms with Reinforcement Learning2022in the sky ✦
- Conservative Q-Learning for Offline Reinforcement Learning2020in the sky ✦
- Decision Transformer: Reinforcement Learning via Sequence Modeling2021in the sky ✦
- Diffusion Policy: Visuomotor Policy Learning via Action Diffusion2023in the sky ✦
- Diffusion Policy: Visuomotor Policy Learning via Action Diffusion2023in the sky ✦
- A Generalist Agent2022in the sky ✦
- First Return, Then Explore2021in the sky ✦
- Learning Dexterous In-Hand Manipulation2019in the sky ✦
- Learning Dexterous In-Hand Manipulation2019in the sky ✦
- MuZero: Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model2020in the sky ✦
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models2024in the sky ✦
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models2024in the sky ✦
- π₀: A Vision-Language-Action Flow Model for General Robot Control2024in the sky ✦
- π₀: A Vision-Language-Action Flow Model for General Robot Control2024in the sky ✦
- QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation2018in the sky ✦
- QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation2018in the sky ✦
- ReAct: Synergizing Reasoning and Acting in Language Models2023in the sky ✦
- ReAct: Synergizing Reasoning and Acting in Language Models2023in the sky ✦
- Reflexion: Language Agents with Verbal Reinforcement Learning2023in the sky ✦
- RT-1: Robotics Transformer for Real-World Control at Scale2022in the sky ✦
- RT-1: Robotics Transformer for Real-World Control at Scale2022in the sky ✦
- Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor2018in the sky ✦
- Do As I Can, Not As I Say: Grounding Language in Robotic Affordances2022in the sky ✦
- Trust Region Policy Optimization2015in the sky ✦
- WebArena: A Realistic Web Environment for Building Autonomous Agents2023in the sky ✦
- WebArena: A Realistic Web Environment for Building Autonomous Agents2023in the sky ✦
- World Models2018in the sky ✦
- World Models2018in the sky ✦