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Ravi Tej Akella

3 papers · 2020–2024 · 3 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze

Venues

AAAI (1) COLING (1) ICLR (1)

Top co-authors

John Dolan (1) Yisong Yue (1) Asif Ekbal (1) Siddarth Venkatraman (1) Jeff Schneider (1) Pushpak Bhattacharyya (1) Animashree Anandkumar (1) Mohammad Ghavamzadeh (1) Glen Berseth (1) Shivesh Khaitan (1)

Research topics

Reinforcement Learning (3) Methods (3) Deep Learning (2) Machine Learning (2) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Models (1) Optimization & Theory (1)

Keywords

reinforcement learning (2) sample efficiency (1) multi-task learning (1) offline reinforcement learning (1) policy gradient (1) question generation (1) gradient estimation (1) variance reduction (1) bayesian quadrature (1) reward conditioning (1) credit assignment (1) latent diffusion (1) multi-hop reasoning (1) sequence to sequence (1) trajectory stitching (1) deep reinforcement learning (1) supporting fact prediction (1)

Papers

Reasoning with Latent Diffusion in Offline Reinforcement Learning ICLR 2024 Deep Bayesian Quadrature Policy Optimization AAAI 2021 Reinforced Multi-task Approach for Multi-hop Question Generation COLING 2020