Ben Eysenbach

7 papers · 2019–2021 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) 🧭 Keyword Pioneer

Venues

NeurIPS (6) CoRL (1)

Top co-authors

Sergey Levine (5) Ruslan Salakhutdinov (5) Lisa Lee (2) Chelsea Finn (2) Kyle Hsu (1) Allan Jabri (1) Yufei Wang (1) Shixiang (Shane) Gu (1) XINYANG GENG (1) Harshit Sikchi (1)

Research topics

Reinforcement Learning (6) Methods (6) Machine Learning (5) Learning Types · Machine Learning (4) Artificial Intelligence (2) Core AI (2) Deep Learning (1) Applications (1) Core Methods (1) Learning Paradigms (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

reinforcement learning (3) inverse reinforcement learning (2) reward function (2) imitation learning (2) information bottleneck (1) density estimation (1) curriculum learning (1) weakly supervised learning (1) policy learning (1) visual navigation (1) value function (1) continuous control (1) model-based reinforcement learning (1) efficient exploration (1) replay buffer (1) meta-reinforcement learning (1) goal-conditioned policy (1) sparse reward (1) goal-conditioned reinforcement learning (1) robust control (1)

Papers

Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification NeurIPS 2021 Robust Predictable Control NeurIPS 2021 f-IRL: Inverse Reinforcement Learning via State Marginal Matching CoRL 2020 Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement NeurIPS 2020 Weakly-Supervised Reinforcement Learning for Controllable Behavior NeurIPS 2020 Search on the Replay Buffer: Bridging Planning and Reinforcement Learning NeurIPS 2019 Unsupervised Curricula for Visual Meta-Reinforcement Learning NeurIPS 2019