Observation Interference in Partially Observable Assistance Games
Fuente:
arXiv
Saved in:
| Main Authors: | Emmons, Scott, Oesterheld, Caspar, Conitzer, Vincent, Russell, Stuart |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Characterising Simulation-Based Program Equilibria
by: Cooper, Emery, et al.
Published: (2024)
by: Cooper, Emery, et al.
Published: (2024)
The Partially Observable Off-Switch Game
by: Garber, Andrew, et al.
Published: (2024)
by: Garber, Andrew, et al.
Published: (2024)
Choosing What Game to Play without Selecting Equilibria: Inferring Safe (Pareto) Improvements in Binary Constraint Structures
by: Oesterheld, Caspar, et al.
Published: (2025)
by: Oesterheld, Caspar, et al.
Published: (2025)
Recursive Joint Simulation in Games
by: Kovarik, Vojtech, et al.
Published: (2024)
by: Kovarik, Vojtech, et al.
Published: (2024)
Can CDT rationalise the ex ante optimal policy via modified anthropics?
by: Cooper, Emery, et al.
Published: (2024)
by: Cooper, Emery, et al.
Published: (2024)
Online Competitive Information Gathering for Partially Observable Trajectory Games
by: Krusniak, Mel, et al.
Published: (2025)
by: Krusniak, Mel, et al.
Published: (2025)
Independent Learning of Nash Equilibria in Partially Observable Markov Potential Games with Decoupled Dynamics
by: Jordan, Philip, et al.
Published: (2026)
by: Jordan, Philip, et al.
Published: (2026)
Data-Augmented Game Starts for Accelerating Self-Play Exploration in Imperfect Information Games
by: Lanier, JB, et al.
Published: (2026)
by: Lanier, JB, et al.
Published: (2026)
Evaluating LLMs in Open-Source Games
by: Sistla, Swadesh, et al.
Published: (2025)
by: Sistla, Swadesh, et al.
Published: (2025)
Partially Observable Multi-Agent Reinforcement Learning with Information Sharing
by: Liu, Xiangyu, et al.
Published: (2023)
by: Liu, Xiangyu, et al.
Published: (2023)
Offline Fictitious Self-Play for Competitive Games
by: Chen, Jingxiao, et al.
Published: (2024)
by: Chen, Jingxiao, et al.
Published: (2024)
Bounded Rationality Equilibrium Learning in Mean Field Games
by: Eich, Yannick, et al.
Published: (2024)
by: Eich, Yannick, et al.
Published: (2024)
Learning Optimal Tax Design in Nonatomic Congestion Games
by: Cui, Qiwen, et al.
Published: (2024)
by: Cui, Qiwen, et al.
Published: (2024)
Inverse Concave-Utility Reinforcement Learning is Inverse Game Theory
by: Çelikok, Mustafa Mert, et al.
Published: (2024)
by: Çelikok, Mustafa Mert, et al.
Published: (2024)
Online Learning of Counter Categories and Ratings in PvP Games
by: Lin, Chiu-Chou, et al.
Published: (2025)
by: Lin, Chiu-Chou, et al.
Published: (2025)
RuleSmith: Multi-Agent LLMs for Automated Game Balancing
by: Zeng, Ziyao, et al.
Published: (2026)
by: Zeng, Ziyao, et al.
Published: (2026)
Game Theory with Simulation of Other Players
by: Kovarik, Vojtech, et al.
Published: (2023)
by: Kovarik, Vojtech, et al.
Published: (2023)
ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games
by: Lei, Shiqi, et al.
Published: (2024)
by: Lei, Shiqi, et al.
Published: (2024)
Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach
by: Fabian, Christian, et al.
Published: (2024)
by: Fabian, Christian, et al.
Published: (2024)
A Single Online Agent Can Efficiently Learn Mean Field Games
by: Zhang, Chenyu, et al.
Published: (2024)
by: Zhang, Chenyu, et al.
Published: (2024)
Policy Optimization finds Nash Equilibrium in Regularized General-Sum LQ Games
by: Zaman, Muhammad Aneeq uz, et al.
Published: (2024)
by: Zaman, Muhammad Aneeq uz, et al.
Published: (2024)
Stackelberg Learning from Human Feedback: Preference Optimization as a Sequential Game
by: Pásztor, Barna, et al.
Published: (2025)
by: Pásztor, Barna, et al.
Published: (2025)
Socially-Weighted Alignment: A Game-Theoretic Framework for Multi-Agent LLM Systems
by: Mumcu, Furkan, et al.
Published: (2026)
by: Mumcu, Furkan, et al.
Published: (2026)
Cooperative Game-Theoretic Credit Assignment for Multi-Agent Policy Gradients via the Core
by: Ji, Mengda, et al.
Published: (2025)
by: Ji, Mengda, et al.
Published: (2025)
Distributed Stackelberg Strategies in State-based Potential Games for Autonomous Decentralized Learning Manufacturing Systems
by: Yuwono, Steve, et al.
Published: (2024)
by: Yuwono, Steve, et al.
Published: (2024)
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning
by: Li, Zun, et al.
Published: (2023)
by: Li, Zun, et al.
Published: (2023)
Game-theoretic LLM: Agent Workflow for Negotiation Games
by: Hua, Wenyue, et al.
Published: (2024)
by: Hua, Wenyue, et al.
Published: (2024)
Fast and the Furious: Hot Starts in Pursuit-Evasion Games
by: Smithline, Gabriel, et al.
Published: (2025)
by: Smithline, Gabriel, et al.
Published: (2025)
Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation
by: Benjamin, Patrick, et al.
Published: (2024)
by: Benjamin, Patrick, et al.
Published: (2024)
GameTalk: Training LLMs for Strategic Conversation
by: Vendrell, Victor Conchello, et al.
Published: (2026)
by: Vendrell, Victor Conchello, et al.
Published: (2026)
Understanding LLM Agent Behaviours via Game Theory: Strategy Recognition, Biases and Multi-Agent Dynamics
by: Huynh, Trung-Kiet, et al.
Published: (2025)
by: Huynh, Trung-Kiet, et al.
Published: (2025)
LUDOBENCH: Evaluating LLM Behavioural Decision-Making Through Spot-Based Board Game Scenarios in Ludo
by: Jain, Ojas, et al.
Published: (2026)
by: Jain, Ojas, et al.
Published: (2026)
On the Complexity of Learning to Cooperate with Populations of Socially Rational Agents
by: Loftin, Robert, et al.
Published: (2024)
by: Loftin, Robert, et al.
Published: (2024)
Independent RL for Cooperative-Competitive Agents: A Mean-Field Perspective
by: Zaman, Muhammad Aneeq uz, et al.
Published: (2024)
by: Zaman, Muhammad Aneeq uz, et al.
Published: (2024)
Preference-Based Multi-Agent Reinforcement Learning: Data Coverage and Algorithmic Techniques
by: Zhang, Natalia, et al.
Published: (2024)
by: Zhang, Natalia, et al.
Published: (2024)
Adaptive Network Intervention for Complex Systems: A Hierarchical Graph Reinforcement Learning Approach
by: Chen, Qiliang, et al.
Published: (2024)
by: Chen, Qiliang, et al.
Published: (2024)
The Benefits of Power Regularization in Cooperative Reinforcement Learning
by: Li, Michelle, et al.
Published: (2024)
by: Li, Michelle, et al.
Published: (2024)
Strategic Classification With Externalities
by: Hossain, Safwan, et al.
Published: (2024)
by: Hossain, Safwan, et al.
Published: (2024)
Emergent Dominance Hierarchies in Reinforcement Learning Agents
by: Rachum, Ram, et al.
Published: (2024)
by: Rachum, Ram, et al.
Published: (2024)
Fusion-PSRO: Nash Policy Fusion for Policy Space Response Oracles
by: Lian, Jiesong, et al.
Published: (2024)
by: Lian, Jiesong, et al.
Published: (2024)
Similar Items
-
Characterising Simulation-Based Program Equilibria
by: Cooper, Emery, et al.
Published: (2024) -
The Partially Observable Off-Switch Game
by: Garber, Andrew, et al.
Published: (2024) -
Choosing What Game to Play without Selecting Equilibria: Inferring Safe (Pareto) Improvements in Binary Constraint Structures
by: Oesterheld, Caspar, et al.
Published: (2025) -
Recursive Joint Simulation in Games
by: Kovarik, Vojtech, et al.
Published: (2024) -
Can CDT rationalise the ex ante optimal policy via modified anthropics?
by: Cooper, Emery, et al.
Published: (2024)