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← Authors

Glen Berseth

27 papers · 2018–2025 · 7 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ 🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (11)
🌍 Conference Polyglot (7) 🏃 Academic Marathon (7) 🧭 Keyword Pioneer 👥 Mega-Team (98) 🔥 Unstoppable (5) 🚀 Conference Pioneer 💎 Century Club (27) ⚡ Prolific Year (10) 🗃️ Keyword Collector (66)

Conferences

ICLR (12) NIPS (5) CORL (3) ICML (3) RSS (2) EMNLP (1) JMLR (1)

Top co-authors

Sergey Levine (9) Chelsea Finn (5) Irina Rish (3) Yoshua Bengio (3) Siddarth Venkatraman (3) Dinesh Jayaraman (3) Abhishek Gupta (3) Arhan Jain (2) Kirsty Ellis (2) Jensen Gao (2)

Keywords

reinforcement learning (6) variational inference (2) robot manipulation (2) imitation learning (2) deep reinforcement learning (2) reward function (2) policy learning (1) offline reinforcement learning (1) contrastive learning (1) off-policy learning (1) function approximation (1) self-supervised learning (1) transfer learning (1) text-to-image generation (1) posterior inference (1) robotic manipulation (1) continuous control (1) inverse reinforcement learning (1) policy optimization (1) continual learning (1)

Papers

Towards Improving Exploration through Sibling Augmented GFlowNets ICLR 2025 RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies CORL 2025 Outsourced Diffusion Sampling: Efficient Posterior Inference in Latent Spaces of Generative Models ICML 2025 Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching ICLR 2025 Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference ICLR 2025 Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn ICML 2025 DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset RSS 2024 Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn NIPS 2024 Simplifying Constraint Inference with Inverse Reinforcement Learning NIPS 2024 Amortizing intractable inference in diffusion models for vision, language, and control NIPS 2024 Enhancing Agent Learning through World Dynamics Modeling EMNLP 2024 Searching for High-Value Molecules Using Reinforcement Learning and Transformers ICLR 2024 Improving Intrinsic Exploration by Creating Stationary Objectives ICLR 2024 Reasoning with Latent Diffusion in Offline Reinforcement Learning ICLR 2024 Intelligent Switching for Reset-Free RL ICLR 2024 Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View. ICLR 2024 Robust and Versatile Bipedal Jumping Control through Reinforcement Learning RSS 2023 Maximum State Entropy Exploration using Predecessor and Successor Representations NIPS 2023 Towards Learning to Imitate from a Single Video Demonstration JMLR 2023 AnyMorph: Learning Transferable Polices By Inferring Agent Morphology ICML 2022 CoMPS: Continual Meta Policy Search ICLR 2022 SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments ICLR 2021 X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback ICLR 2021 Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation CORL 2021 Information is Power: Intrinsic Control via Information Capture NIPS 2021 Contextual Imagined Goals for Self-Supervised Robotic Learning CORL 2019 Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control ICLR 2018