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Joshua Romoff

10 papers · 2017–2024 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (20) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (58) πŸ“ˆ Trend Setter πŸ’Ž Century Club Β· Bronze πŸ”₯ Unstoppable Β· Bronze πŸš€ Conference Pioneer

Venues

ICML (3) NeurIPS (2) CoRL (1) ICLR (1) IJCAI (1) JMLR (1) UAI (1)

Top co-authors

Joelle Pineau (6) Peter Henderson (3) Ahmed Touati (2) Emma Brunskill (2) Yann Ollivier (1) Roger Creus Castanyer (1) Julien Roy (1) Mehdi Fatemi (1) Theophile Gervet (1) Eloi Alonso (1)

Research topics

Reinforcement Learning (9) Machine Learning (8) Methods (8) Learning Types Β· Machine Learning (6) Artificial Intelligence (4) Core AI (4) Deep Learning (3) Application Areas (3) Applications (3) Learning Types Β· Deep Learning (3) Optimization & Theory (2) Bayesian & Probabilistic (1) Models (1)

Keywords

reinforcement learning (4) deep reinforcement learning (3) value function (3) variational inference (1) state representation (1) constrained reinforcement learning (1) policy optimization (1) energy efficiency (1) discount factor (1) partial observability (1) distributed learning (1) value function approximation (1) variance reduction (1) stochastic reward (1) temporal difference learning (1) distributed training (1) thompson sampling (1) safe reinforcement learning (1) reward hacking (1) multi-agent reinforcement learning (1)

Papers

Improving Intrinsic Exploration by Creating Stationary Objectives ICLR 2024 Direct Behavior Specification via Constrained Reinforcement Learning ICML 2022 Deep Reinforcement Learning for Navigation in AAA Video Games IJCAI 2021 Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning JMLR 2020 Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning NeurIPS 2019 Randomized Value Functions via Multiplicative Normalizing Flows UAI 2019 Separating value functions across time-scales ICML 2019 TarMAC: Targeted Multi-Agent Communication ICML 2019 Reward Estimation for Variance Reduction in Deep Reinforcement Learning CoRL 2018 Hybrid Reward Architecture for Reinforcement Learning NeurIPS 2017