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This paper introduces a method for optimizing bidding strategies of generation companies in long-term market and spot market, based on multi-agent reinforcement learning. This paper first proposes a mathematical model for generation companies' decision-...

Efficient automated negotiation is not trivial in one-to-many negotiations with partial deals, where a negotiation agent is challenged with a difficult task to plan and oversee multiple interconnected negotiations. A decision or deal made in one ...

Automated negotiation is a well-known mechanism for autonomous agents to reach agreements. To realize beneficial agreements quickly, it is key to employ a good bidding strategy. When a negotiating agent has a good back-up plan, i.e., a high reservation ...

Real-Time Bidding (RTB) is one of the most important forms of online advertising, where an auction is hosted in real time to sell the individual ad impression. How to design an automated bidding strategy in response to the dynamic auction environment is ...

We present a Nash equilibrium analysis for single-buyer single-seller multi-unit k-double auctions for scaling-based bidding strategies. We then design a Deep Deterministic Policy Gradient (DDPG) based learning strategy, DDPGBBS, for a participating ...

Internet auctions are used in a variety of domains, from C2C to B2B. The bidding behavior and bidding process in C2C auctions for a single product have been studied previously; however, the nature of B2B auctions is unclear due to the inaccessibility ...

This research aims to explore bidding strategies on two different levels (i.e., adgroup and keyword) in search engine advertising (SEA). With consideration of uncertainty in advertising performance, we build a stochastic bidding model that can be ...

This paper investigates how incentives to learn ad performance affect the advertisers’ bidding strategies, as well as the publisher’s optimal mechanism.

Prior literature on pay-per-click advertising assumes that publishers know advertisers’ click-through rates (CTRs). This information, however, is not available when a new advertiser first joins a publisher. The new advertiser’s CTR can be learned only if ...

A standard result from auction theory is that bidding truthfully in a second price auction is a weakly dominant strategy. The result, however, does not apply in the presence of Cost Per Action (CPA) constraints. Such constraints exist, for instance, in ...

Bidding strategies for Periodic Double Auctions (PDAs) are complicated because they need to predict and plan for future auctions, which may affect the bidding strategy in the current auction. We present a general bidding strategy for PDAs based on ...

Although keyword auctions are often studied in the context of a single keyword in the literature, firms generally have to participate in multiple keyword auctions at the same time. Advertisers purchase a variety of keywords that can be categorized as ...

Background. The majority of bidding models, such as those developed by Friedman and Gates focus on the mark-up decision. Despite a large body of literature, particularly related to the construction industry, these bidding models largely ignore human ...

The spot instance model is a virtual machine pricing scheme in which unused resources of cloud providers are offered to the highest bidder. This leads to the formation of a spot price, whose fluctuations can determine customers to be overbid by other ...

Trading optimal wind power in energy and regulation markets offer possibilities for increasing revenues as well as impacting security of the system via additional regulation reserve. The bidding in both energy and regulation markets can be computed ...

Current markets of cloud resources are mainly based on a fixed pricing model. In the recent literature several market-based resource allocation models and algorithms have been proposed, showing that dynamic pricing models could result more profitable ...

Integration of wind power with the grid has become an important problem. For integration, a producer needs to bid in a time-ahead market to deliver an amount of energy at a future point in time. Because wind speed and price are both uncertain, a ...

Cloud computing technology has definitely reached a high level of

maturity. This is witnessed not just by the interest of the academic community

around it, but also by the wide adoption in commercial scenarios. Today many big

IT players are making ...

With the recent introduction of Spot Instances in the Amazon Elastic Compute Cloud (EC2), users can bid for resources and, thus, control the balance of reliability versus monetary costs. Mechanisms and tools that deal with the cost-reliability tradeoffs ...

Cloud computing is on demand as it offers dynamic flexible resource allocation for reliable and guaranteed services in a pay-as-you-use manner to public. In cloud computing, a cloud resource consumer can request a number of cloud resources ...

With the recent introduction of Spot Instances in the Amazon Elastic Compute Cloud (EC2), users can bid for resources and thus control the balance of reliability versus monetary costs. Mechanisms and tools that deal with the cost-reliability trade-offs ...