Gerald Tesauro

16 papers · 2007–2022 · 6 conferences · across top CS/AI conferences

Achievements

+12 more ↓

🌍 Conference Polyglot (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (15)

🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🧭 Keyword Pioneer 🧬 Topic Evolution 🏆 Keyword Champion 🏆 Grand Slam 🗃️ Keyword Collector (78) 🚀 Conference Pioneer 📈 Trend Setter 💎 Century Club (16) 🔥 Unstoppable (5) ⚡ Prolific Year (5)

Conferences

AAAI (6) NIPS (5) ICLR (2) ICML (1) IJCAI (1) NAACL (1)

Top co-authors

Miao Liu (8) Matthew Riemer (7) Xiaoxiao Guo (5) Murray Campbell (5) Mo Yu (3) Dong-Ki Kim (3) Shiyu Chang (3) Tim Klinger (3) Chuangchuang Sun (2) Jonathan P. How (2)

Keywords

reinforcement learning (5) multiagent reinforcement learning (3) policy optimization (3) temporal abstraction (3) multi-agent reinforcement learning (3) option learning (3) hierarchical reinforcement learning (3) policy gradient (2) function approximation (2) deep reinforcement learning (2) multi-task learning (1) text classification (1) performance optimization (1) image retrieval (1) temporal difference learning (1) intent classification (1) imitation learning (1) commonsense knowledge (1) knowledge transfer (1) online learning (1)

Papers

Context-Specific Representation Abstraction for Deep Option Learning AAAI 2022 Influencing Long-Term Behavior in Multiagent Reinforcement Learning NIPS 2022 Efficient Black-Box Planning Using Macro-Actions with Focused Effects IJCAI 2021 RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract) AAAI 2021 A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning ICML 2021 Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines AAAI 2021 On the Role of Weight Sharing During Deep Option Learning AAAI 2020 Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis NIPS 2020 Learning to Teach in Cooperative Multiagent Reinforcement Learning AAAI 2019 Hybrid Reinforcement Learning with Expert State Sequences AAAI 2019 Diverse Few-Shot Text Classification with Multiple Metrics NAACL 2018 Dialog-based Interactive Image Retrieval NIPS 2018 Learning Abstract Options NIPS 2018 Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering ICLR 2018 Eigenoption Discovery through the Deep Successor Representation ICLR 2018 Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning NIPS 2007