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Introduce stochastic offset credit requirements for agents

Extend the finite-agent Nash-DQN greenhouse gas offset credit market model to incorporate stochastic, rather than deterministic and exogenous, offset credit compliance requirements for each agent, and analyze how such uncertainty affects optimal policies and the Nash equilibrium.

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Background

The model currently assumes each firm’s OC requirement is deterministic and exogenous. The authors note this may not reflect real-world variability and thereby identify stochastic requirements as a worthwhile extension.

Accounting for stochastic compliance needs would increase realism and could materially change equilibrium strategies, risk management, and market outcomes.

References

Within the current framework, there remain open problems that are worthwhile investigating. Another worthwhile pursuit is to introduce stochastic OC requirements into the model. Currently, we assume the agents' requirements are deterministic and exogenous, which may not be true in the real world.

Multi-Agent Reinforcement Learning for Greenhouse Gas Offset Credit Markets (2504.11258 - Welsh et al., 15 Apr 2025) in Section 6 (Conclusion)