Lukasz Kucinski

According to our database1, Lukasz Kucinski authored at least 16 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
tsGT: Stochastic Time Series Modeling With Transformer.
CoRR, 2024

GUIDE: Guidance-based Incremental Learning with Diffusion Models.
CoRR, 2024

Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem.
CoRR, 2024

2023
Structured Packing in LLM Training Improves Long Context Utilization.
CoRR, 2023

Magnushammer: A Transformer-based Approach to Premise Selection.
CoRR, 2023

Trust Your 𝛁: Gradient-based Intervention Targeting for Causal Discovery.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Disentangling Transfer in Continual Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Continuous Control With Ensemble Deep Deterministic Policy Gradients.
CoRR, 2021

Continual World: A Robotic Benchmark For Continual Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Subgoal Search For Complex Reasoning Tasks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Trust, but Verify: Alleviating Pessimistic Errors in Model-Based Exploration.
Proceedings of the International Joint Conference on Neural Networks, 2021

Structure and Randomness in Planning and Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

2019
Uncertainty-sensitive Learning and Planning with Ensembles.
CoRR, 2019

Developmentally motivated emergence of compositional communication via template transfer.
CoRR, 2019


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