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W-Net: Reinforced U-Net for Density Map Estimation.
Varun Kannadi Valloli, Kinal Mehta: W-Net: Reinforced U-Net for Density Map Estimation. CoRR abs/1903.11249 (2019)
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RoRD: Rotation-Robust Descriptors and Orthographic Views for Local Feature...
Udit Singh Parihar, Aniket Gujarathi, Kinal Mehta, Satyajit Tourani, Sourav Garg, Michael Milford, K. Madhava Krishna: RoRD: Rotation-Robust Descriptors and Orthographic Views for Local Feature...
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RoRD: Rotation-Robust Descriptors and Orthographic Views for Local Feature...
Udit Singh Parihar, Aniket Gujarathi, Kinal Mehta, Satyajit Tourani, Sourav Garg, Michael Milford, K. Madhava Krishna: RoRD: Rotation-Robust Descriptors and Orthographic Views for Local Feature...
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Effects of Spectral Normalization in Multi-agent Reinforcement Learning.
Kinal Mehta, Anuj Mahajan, Pawan Kumar: Effects of Spectral Normalization in Multi-agent Reinforcement Learning. CoRR abs/2212.05331 (2022)
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ReF - Rotation Equivariant Features for Local Feature Matching.
Abhishek Peri, Kinal Mehta, Avneesh Mishra, Michael Milford, Sourav Garg, K. Madhava Krishna: ReF - Rotation Equivariant Features for Local Feature Matching. CoRR abs/2203.05206 (2022)
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CleanRL: High-quality Single-file Implementations of Deep Reinforcement...
Shengyi Huang, Rousslan Fernand Julien Dossa, Chang Ye, Jeff Braga, Dipam Chakraborty, Kinal Mehta, João G. M. Araújo: CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning...
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marl-jax: Multi-agent Reinforcement Leaning framework for Social Generalization.
Kinal Mehta, Anuj Mahajan, Pawan Kumar: marl-jax: Multi-agent Reinforcement Leaning framework for Social Generalization. CoRR abs/2303.13808 (2023)
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marl-jax: Multi-agent Reinforcement Leaning Framework for Social Generalization.
Kinal Mehta, Anuj Mahajan, Pawan Kumar: marl-jax: Multi-agent Reinforcement Leaning Framework for Social Generalization. ECML/PKDD (7) 2023: 300-304
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Effects of Spectral Normalization in Multi-Agent Reinforcement Learning.
Kinal Mehta, Anuj Mahajan, Pawan Kumar: Effects of Spectral Normalization in Multi-Agent Reinforcement Learning. IJCNN 2023: 1-8
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Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning.
Shengyi Huang, Quentin Gallouédec, Florian Felten, Antonin Raffin, Rousslan Fernand Julien Dossa, Yanxiao Zhao, Ryan Sullivan, Viktor Makoviychuk, Denys Makoviichuk, Mohamad H. Danesh, Cyril Roumégous,...
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