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Journal Articles
- 2024
[j1]Connor Mattson, Anurag Aribandi, Daniel S. Brown:
Representation Alignment from Human Feedback for Cross-Embodiment Reward Learning from Mixed-Quality Demonstrations. RLJ 4: 1822-1840 (2024)
Conference and Workshop Papers
- 2024
- [c3]Kevin Zhu, Connor Mattson, Shay Snyder, Ricardo Vega, Daniel S. Brown, Maryam Parsa, Cameron Nowzari:
Spiking Neural Networks as a Controller for Emergent Swarm Agents. ICONS 2024: 319-326 - 2023
- [c2]Connor Mattson
, Daniel S. Brown:
Leveraging Human Feedback to Evolve and Discover Novel Emergent Behaviors in Robot Swarms. GECCO 2023: 56-64 - [c1]Connor Mattson, Jeremy C. Clark, Daniel S. Brown:
Exploring Behavior Discovery Methods for Heterogeneous Swarms of Limited-Capability Robots. MRS 2023: 163-169
Informal and Other Publications
- 2024
- [i6]Connor Mattson, Anurag Aribandi, Daniel S. Brown:
Representation Alignment from Human Feedback for Cross-Embodiment Reward Learning from Mixed-Quality Demonstrations. CoRR abs/2408.05610 (2024) - [i5]Kevin Zhu, Connor Mattson, Shay Snyder, Ricardo Vega, Daniel S. Brown, Maryam Parsa, Cameron Nowzari:
Spiking Neural Networks as a Controller for Emergent Swarm Agents. CoRR abs/2410.16175 (2024) - [i4]Ricardo Vega, Kevin Zhu, Connor Mattson, Daniel S. Brown, Cameron Nowzari:
Agent-Based Emulation for Deploying Robot Swarm Behaviors. CoRR abs/2410.16444 (2024) - 2023
- [i3]Connor Mattson, Daniel S. Brown:
Leveraging Human Feedback to Evolve and Discover Novel Emergent Behaviors in Robot Swarms. CoRR abs/2305.16148 (2023) - [i2]Ricardo Vega, Kevin Zhu, Connor Mattson, Daniel S. Brown, Cameron Nowzari:
Swarm Mechanics and Swarm Chemistry: A Transdisciplinary Approach for Robot Swarms. CoRR abs/2309.11408 (2023) - [i1]Connor Mattson, Jeremy C. Clark, Daniel S. Brown:
Exploring Behavior Discovery Methods for Heterogeneous Swarms of Limited-Capability Robots. CoRR abs/2310.16941 (2023)
Coauthor Index
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