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← Authors

Adam Lerer

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

Achievements

Jump to papers ↓
+12 more ↓ 🌍 Conference Polyglot (5) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (7)
🌈 Renaissance Researcher (6) 🐝 Cross-Pollinator (9) 🌍 Conference Polyglot (5) 🌟 Keyword Trendsetter Combo (3) πŸ‘‘ Triple Crown πŸ‘₯ Mega-Team (21) πŸ† Grand Slam 🧬 Topic Evolution πŸ”₯ Unstoppable (6) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (75) πŸ’Ž Century Club (18)

Conferences

ICML (7) NIPS (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)

Keywords

multi-agent system (5) search algorithm (3) multi-agent reinforcement learning (3) policy learning (2) protein structure (2) regret minimization (2) game theory (2) zero-shot coordination (2) reinforcement learning (2) cooperative game (2) neural network (2) online learning (1) automatic differentiation (1) nash equilibrium (1) robust optimization (1) 3d reconstruction (1) trajectory prediction (1) kl regularization (1) kl divergence (1) belief updating (1)

Papers

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