Yuchen Xiao

4 papers · 2019–2022 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver

Venues

AAAI (2) CoRL (1) NeurIPS (1)

Top co-authors

Christopher Amato (4) Joshua Hoffman (2) Andrea Baisero (1) Weihao Tan (1) Tian Xia (1) Xueguang Lyu (1)

Research topics

Reinforcement Learning (4) Methods (4) Artificial Intelligence (2) Deep Learning (2) Machine Learning (2) Applications · Reinforcement Learning (2) Core AI (2) Learning Types · Deep Learning (2) Learning Types · Machine Learning (2) Robotics (1) Applications · Robotics (1) Optimization & Theory (1)

Keywords

multi-agent reinforcement learning (2) value function (1) actor-critic method (1) gradient variance (1) asynchronous learning (1) decentralized pomdp (1) deep q-network (1) multi-robot system (1) decentralized policy (1) centralized training (1) multi-agent system (1) decentralized partially observable markov decision process (1) asynchronous decision making (1) asynchronous decision (1) gradient bia (1) state-based critic (1) policy gradient bia (1) asynchronous actor-critic (1) deep reinforcement learning (1) temporally extended action (1)

Papers

A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning AAAI 2022 Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning NeurIPS 2022 Multi-Agent/Robot Deep Reinforcement Learning with Macro-Actions (Student Abstract) AAAI 2020 Macro-Action-Based Deep Multi-Agent Reinforcement Learning CoRL 2019