John Co-Reyes

4 papers · 2017–2023 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad

Venues

NeurIPS (3) ICML (1)

Top co-authors

Sergey Levine (3) Justin Fu (2) Rebecca Roelofs (1) Abhishek Gupta (1) Rowan McAllister (1) Eli Bronstein (1) Xinlei Pan (1) Xiangyu Chen (1) Nicholas Rhinehart (1) YuXuan Liu (1)

Research topics

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

Keywords

deep reinforcement learning (2) model-based planning (1) imitation learning (1) variational inference (1) autonomous driving (1) hierarchical reinforcement learning (1) novelty detection (1) exemplar models (1) intrinsic motivation (1) state space model (1) latent representation (1) variational autoencoder (1) behavioral cloning (1) partial observation (1) multi-agent simulation (1) count-based exploration (1) trajectory embedding (1) unsupervised exploration (1) implicit density estimation (1) data-driven simulation (1)

Papers

Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research NeurIPS 2023 Information is Power: Intrinsic Control via Information Capture NeurIPS 2021 Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings ICML 2018 EX2: Exploration with Exemplar Models for Deep Reinforcement Learning NeurIPS 2017