Benjamin Ellis

6 papers · 2023–2025 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (13) 👥 Mega-Team · Squad 📈 Trend Setter

Venues

NeurIPS (3) ICLR (2) ICML (1)

Top co-authors

Shimon Whiteson (3) Mikayel Samvelyan (3) Andrei Lupu (3) Jakob Nicolaus Foerster (3) Jakob Foerster (2) Jonathan Cook (2) Mattie Fellows (2) Matteo Gallici (2) Alexander D. Goldie (1) Michael Beukman (1)

Research topics

Machine Learning (4) Reinforcement Learning (4) Artificial Intelligence (3) Core AI (3) Methods (3) Optimization & Theory · Machine Learning (3) Deep Learning (2) Robotics (1) Application Areas (1) Applications (1) Capabilities (1) Learning Types (1) Optimization & Theory · Deep Learning (1)

Keywords

reinforcement learning (2) target network (2) multi-agent reinforcement learning (2) procedural generation (1) off-policy learning (1) partial observability (1) cooperative learning (1) zero-shot coordination (1) cooperative multi-agent (1) non-stationary learning (1) environment interaction (1) gpu acceleration (1) layer normalization (1) multi-agent coordination (1) deep q-network (1) environment simulation (1) parallel training (1) neural network optimizer (1) gradient magnitude (1) asymmetric information (1)

Papers

OvercookedV2: Rethinking Overcooked for Zero-Shot Coordination ICLR 2025 Simplifying Deep Temporal Difference Learning ICLR 2025 Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps NeurIPS 2024 Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning ICML 2024 JaxMARL: Multi-Agent RL Environments and Algorithms in JAX NeurIPS 2024 SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning NeurIPS 2023