Dipam Chakraborty

3 papers · 2022–2024 · 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 👥 Mega-Team · Squad

Venues

ICML (1) JMLR (1) NeurIPS (1)

Top co-authors

Omar G. Younis (1) Markus Marks (1) Yisong Yue (1) Rakshit S Trivedi (1) Zachary Partridge (1) Heng Jia (1) Vincent Conitzer (1) Shengyi Huang (1) Pietro Perona (1) Jiawei Huang (1)

Research topics

Artificial Intelligence (2) Reinforcement Learning (2) Core AI (2) Methods (2) Deep Learning (1) Machine Learning (1) Applications (1) Core Methods (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1)

Keywords

deep reinforcement learning (1) representation learning (1) multi-agent reinforcement learning (1) multi-task learning (1) self-supervised learning (1) trajectory modeling (1) game ai (1) cooperative intelligence (1) mixed-motive game (1) social generalization (1) algorithm implementation (1) behavior recognition (1) video representation (1) python library (1) behavior representation (1) pose tracking (1) code quality (1) agent adaptation (1)

Papers

Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence NeurIPS 2024 MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior ICML 2023 CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms JMLR 2022