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Joshua Hoffman

2 papers · 2019–2020 · 2 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

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver

Venues

AAAI (1) CoRL (1)

Top co-authors

Christopher Amato (2) Yuchen Xiao (2) Tian Xia (1)

Research topics

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

Keywords

deep reinforcement learning (1) multi-agent reinforcement learning (1) value function (1) decentralized pomdp (1) deep q-network (1) multi-robot system (1) decentralized policy (1) multi-agent system (1) decentralized partially observable markov decision process (1) asynchronous decision making (1) asynchronous decision (1)

Papers

Multi-Agent/Robot Deep Reinforcement Learning with Macro-Actions (Student Abstract) AAAI 2020 Macro-Action-Based Deep Multi-Agent Reinforcement Learning CoRL 2019