A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
- Dong Ki Kim
- Miao Liu
- et al.
- 2021
- ICML 2021
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5 results for Matthew Riemer
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques
- Megh Thakkar
- Quentin Fournier
- et al.
- 2024
- ACL 2024
Combining Domain and Alignment Vectors to Achieve Better Knowledge-Safety Trade-offs in LLMs
- Megh Thakkar
- Yash More
- et al.
- 2024
- NeurIPS 2024
Learning in Factored Domains with Information-Constrained Visual Representations
- Tyler Malloy
- Tim Klinger
- et al.
- 2022
- NeurIPS 2022
Efficient Black-box Planning using Macro Actions with Focused Effects
- Cameron Allen
- Michael Katz
- et al.
- 2021
- IJCAI 2021