Piotr Milos

According to our database¹, Piotr Milos authored at least 33 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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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.

[BibT_eX]

[DOI]

Marta Emilia Nowakowska

Lukasz Kaiser

Piotr Milos

CoRR, 2024

Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Analysing The Impact of Sequence Composition on Language Model Pre-Training.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

2023

Structured Packing in LLM Training Improves Long Context Utilization.

[BibT_eX]

[DOI]

CoRR, 2023

Exploring Continual Learning of Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Magnushammer: A Transformer-based Approach to Premise Selection.

[BibT_eX]

[DOI]

CoRR, 2023

Focused Transformer: Contrastive Training for Context Scaling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Trust Your 𝛁: Gradient-based Intervention Targeting for Causal Discovery.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Tunnel Effect: Building Data Representations in Deep Neural Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

The Effectiveness of World Models for Continual Reinforcement Learning.

[BibT_eX]

[DOI]

Samuel Kessler

Mateusz Ostaszewski

Michal Pawel Bortkiewicz

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

The Surprising Effectiveness of Latent World Models for Continual Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Disentangling Transfer in Continual Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Planning and Learning using Adaptive Entropy Tree Search.

[BibT_eX]

[DOI]

Piotr Kozakowski

Mikolaj Pacek

Piotr Milos

Proceedings of the International Joint Conference on Neural Networks, 2022

Off-Policy Correction For Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Continuous Control With Ensemble Deep Deterministic Policy Gradients.

[BibT_eX]

[DOI]

CoRR, 2021

Robust and Efficient Planning using Adaptive Entropy Tree Search.

[BibT_eX]

[DOI]

Piotr Kozakowski

Mikolaj Pacek

Piotr Milos

CoRR, 2021

Continual World: A Robotic Benchmark For Continual Reinforcement Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Structure and Randomness in Planning and Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

CARLA Real Traffic Scenarios - novel training ground and benchmark for autonomous driving.

[BibT_eX]

[DOI]

CoRR, 2020

Simulation-Based Reinforcement Learning for Real-World Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Model Based Reinforcement Learning for Atari.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Uncertainty-sensitive Learning and Planning with Ensembles.

[BibT_eX]

[DOI]

CoRR, 2019

Developmentally motivated emergence of compositional communication via template transfer.

[BibT_eX]

[DOI]

Joanna Raczaszek-Leonardi

CoRR, 2019

Model-Based Reinforcement Learning for Atari.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Expert-augmented actor-critic for ViZDoom and Montezumas Revenge.

[BibT_eX]

[DOI]

Michal Garmulewicz

Henryk Michalewski

Piotr Milos

CoRR, 2018

Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Hierarchical Reinforcement Learning with Parameters.

[BibT_eX]

[DOI]

Maciej Klimek

Henryk Michalewski

Piotr Milos

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

Piotr Milos

Timeline

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