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Adam Lerer

18 papers · 2016–2023 · 5 venues · across top CS/AI venues

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Achievements

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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (30) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (10) 🌟 Keyword Trendsetter Combo (3) 🧭 Keyword Pioneer πŸ† Grand Slam πŸ‘₯ Mega-Team Β· Squad πŸ‘‘ Triple Crown πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (84)

Venues

ICML (7) NeurIPS (5) ICLR (3) AAAI (2) ICCV (1)

Top co-authors

Noam Brown (9) Hengyuan Hu (5) Anton Bakhtin (5) Jakob Foerster (4) Alexander Peysakhovich (3) Sam Gross (3) Gabriele Farina (2) Rob Fergus (2) Jonathan Gray (2) Athul Paul Jacob (2)

Research topics

Artificial Intelligence (13) Core AI (13) Machine Learning (11) Reinforcement Learning (8) Methods (6) Learning Types (5) Optimization & Theory (5) Deep Learning (3) Applications (3) Computer Vision (2) Mathematics & Optimization (2) Analysis (2) Architectures (2) Core Methods (2) Optimization (2)

Keywords

multi-agent system (5) multi-agent reinforcement learning (4) game theory (3) search algorithm (3) regret minimization (3) zero-shot coordination (2) policy learning (2) deep reinforcement learning (2) imperfect information game (2) reinforcement learning (2) neural network (2) cooperative game (2) imitation learning (2) protein structure (2) automatic differentiation (1) imperfect information (1) online learning (1) trajectory prediction (1) robust optimization (1) supervised learning (1)

Papers

Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning ICLR 2023 Equilibrium Finding in Normal-Form Games via Greedy Regret Minimization AAAI 2022 Learning inverse folding from millions of predicted structures ICML 2022 Modeling Strong and Human-Like Gameplay with KL-Regularized Search ICML 2022 CryoDRGN2: Ab Initio Neural Reconstruction of 3D Protein Structures From Real Cryo-EM Images ICCV 2021 Human-Level Performance in No-Press Diplomacy via Equilibrium Search ICLR 2021 No-Press Diplomacy from Scratch NeurIPS 2021 Off-Belief Learning ICML 2021 Combining Deep Reinforcement Learning and Search for Imperfect-Information Games NeurIPS 2020 Improving Policies via Search in Cooperative Partially Observable Games AAAI 2020 β€œOther-Play” for Zero-Shot Coordination ICML 2020 Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian NeurIPS 2020 Deep Counterfactual Regret Minimization ICML 2019 PyTorch: An Imperative Style, High-Performance Deep Learning Library NeurIPS 2019 Robust Multi-agent Counterfactual Prediction NeurIPS 2019 Composable Planning with Attributes ICML 2018 Consequentialist conditional cooperation in social dilemmas with imperfect information ICLR 2018 Learning Physical Intuition of Block Towers by Example ICML 2016