Matthew Thomas Jackson

According to our database1, Matthew Thomas Jackson authored at least 13 papers between 2022 and 2024.

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

Timeline

2022
2023
2024
0
5
10
4
1
6
1
1

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Risks and Opportunities of Open-Source Generative AI.
CoRR, 2024

Near to Mid-term Risks and Opportunities of Open Source Generative AI.
CoRR, 2024

Reinforcement Learning Controllers for Soft Robots Using Learned Environments.
Proceedings of the 7th IEEE International Conference on Soft Robotics, 2024

Policy-Guided Diffusion.
RLJ, 2024

SplAgger: Split Aggregation for Meta-Reinforcement Learning.
RLJ, 2024

Can Learned Optimization Make Reinforcement Learning Less Difficult?
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024


Discovering Temporally-Aware Reinforcement Learning Algorithms.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Multi-Modal Fusion by Meta-Initialization.
CoRR, 2022

Hypernetworks in Meta-Reinforcement Learning.
Proceedings of the Conference on Robot Learning, 2022


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