Mathematical modelling of tensegrity robots with rigid rods von Savin, Sergey Igorevich, Vorochaeva, Ludmila Iurevna, Kurenkov, Vladislav Valerevich

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Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters von Kurenkov, Vladislav, Kolesnikov, Sergey

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Guiding Evolutionary Strategies by Differentiable Robot Simulators von Kurenkov, Vladislav, Maksudov, Bulat

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N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needs von Zisman, Ilya, Nikulin, Alexander, Polubarov, Andrei, Lyubaykin, Nikita, Kurenkov, Vladislav

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In-Context Reinforcement Learning for Variable Action Spaces von Sinii, Viacheslav, Nikulin, Alexander, Kurenkov, Vladislav, Zisman, Ilya, Kolesnikov, Sergey

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Emergence of In-Context Reinforcement Learning from Noise Distillation von Zisman, Ilya, Kurenkov, Vladislav, Nikulin, Alexander, Sinii, Viacheslav, Kolesnikov, Sergey

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Katakomba: Tools and Benchmarks for Data-Driven NetHack von Kurenkov, Vladislav, Nikulin, Alexander, Tarasov, Denis, Kolesnikov, Sergey

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Revisiting the Minimalist Approach to Offline Reinforcement Learning von Tarasov, Denis, Kurenkov, Vladislav, Nikulin, Alexander, Kolesnikov, Sergey

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Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters von Kurenkov, Vladislav, Kolesnikov, Sergey

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Anti-Exploration by Random Network Distillation von Nikulin, Alexander, Kurenkov, Vladislav, Tarasov, Denis, Kolesnikov, Sergey

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Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows von Akimov, Dmitriy, Kurenkov, Vladislav, Nikulin, Alexander, Tarasov, Denis, Kolesnikov, Sergey

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Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size von Nikulin, Alexander, Kurenkov, Vladislav, Tarasov, Denis, Akimov, Dmitry, Kolesnikov, Sergey

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CORL: Research-oriented Deep Offline Reinforcement Learning Library von Tarasov, Denis, Nikulin, Alexander, Akimov, Dmitry, Kurenkov, Vladislav, Kolesnikov, Sergey

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XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning von Nikulin, Alexander, Zisman, Ilya, Zemtsov, Alexey, Sinii, Viacheslav, Kurenkov, Vladislav, Kolesnikov, Sergey

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Guiding Evolutionary Strategies by Differentiable Robot Simulators von Kurenkov, Vladislav, Bulat Maksudov

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XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX von Nikulin, Alexander, Kurenkov, Vladislav, Zisman, Ilya, Agarkov, Artem, Sinii, Viacheslav, Kolesnikov, Sergey

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Learning Stabilizing Control Policies for a Tensegrity Hopper with Augmented Random Search von Kurenkov, Vladislav, Hamed, Hany, Savin, Sergei

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Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order von Kurenkov, Vladislav, Maksudov, Bulat, Khan, Adil

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N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needs von Zisman, Ilya, Nikulin, Alexander, Polubarov, Andrei, Lyubaykin, Nikita, Kurenkov, Vladislav

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In-Context Reinforcement Learning for Variable Action Spaces von Sinii, Viacheslav, Nikulin, Alexander, Kurenkov, Vladislav, Zisman, Ilya, Kolesnikov, Sergey

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