Primal-dual algorithms for discounted Markov decision processes

By Randy Cogill. 2015

6 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Bo Dai
2. Lihong Li
3. Niao He
4. Mengdi Wang
5. Le Song
6. Ofir Nachum
7. Albert Eaton Shaw
8. Yichen Chen

In Computational Theory and Mathematics

1. Lihong Li
2. Yichen Chen
3. Mengdi Wang
4. Bo Dai
5. Le Song
6. Niao He
7. Albert Eaton Shaw
8. Nan Jiang

In Computer Networks and Communications

1. Bo Dai
2. Mengdi Wang
3. Lihong Li
4. Le Song
5. Niao He
6. Albert Eaton Shaw
7. Yichen Chen
8. Ofir Nachum

Citations in the corpus

• Boosting the Actor with Dual Critic (2017, methodology): “…duality have been utilized for (approximate) planning problem (de Farias and Roy, 2004; Wang et al., 2008; Pazis and Parr, 2011; O’Donoghue et al., 2011; Malek et al., 2014; Cogill, 2015), in which the transition probability of the MDP is known and the value function or policy are in tabular form.”
• Stochastic Primal-Dual Methods and Sample Complexity of Reinforcement Learning (2016, neutral): “− Cogill (2015) considered the exact primal-dual method for MDP with full knowledge and interpreted it as a form of value iteration.”
• An online primal-dual method for discounted Markov decision processes (2016, methodology): “In a recent paper [9], the exact primaldual method was considered for MDP with full knowledge.”