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           Athena Scientific is a small publisher specializing in
textbooks written by professors at the Massachusetts
Institute of Technology and used in their courses.
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Our Print Books

   
Rollout, Policy Iteration,
and Distributed Reinforcement Learning
by D. P. Bertsekas
  Introduction to Probability
by D. P. Bertsekas and J. N. Tsitsiklis
Convex Optimization Theory
by D. P. Bertsekas
 
Reinforcement Learning
and Optimal Control
by D. P. Bertsekas
  Introduction to Linear Optimization
by D. Bertsimas and J. N. Tsitsiklis
Convex Analysis and Optimization
by D. P. Bertsekas
with A. Nedic and A. E. Ozdaglar
 
Abstract DP
3rd Edition
NEW! 2022
by D. P. Bertsekas
  Network Optimization:
Continuous and Discrete Models
by D. P. Bertsekas
Constrained Optimization and
Lagrange Multiplier Methods
by D. P. Bertsekas
Dynamic Programming
and Optimal Control
by D. P. Bertsekas
  Parallel and Distributed Computation:
Numerical Methods
by D. P. Bertsekas and J. N. Tsitsiklis
Network Flows
and Monotropic Optimization
by R. T. Rockafellar
 
Nonlinear Programming
by D. P. Bertsekas
  Neuro-Dynamic Programming
by D. P. Bertsekas and J. N. Tsitsiklis
Lessons from AlphaZero for Optimal,
Model Predictive, and Adaptive Control
NEW! 2022
by D. P. Bertsekas
Convex Optimization Algorithms
by D. P. Bertsekas
  Stochastic Optimal Control:
The Discrete-Time Case
by D. P. Bertsekas and S. E. Shreve
A Course in Reinforcement Learning
NEW! 2023
by D. P. Bertsekas

Click on any individual book icon for information on that book, or click here for a complete list.


Our Ebooks at Google Play

(Google Play Ebooks are readable with the Google Play app and reflect the latest book changes/corrections at all times)

Reinforcement Learning
and Optimal Control
by D. P. Bertsekas
  Convex Analysis
and Optimization
by D. P. Bertsekas
with A. Nedic and A. E. Ozdaglar
Constrained Optimization and
Lagrange Multiplier Methods
by D. P. Bertsekas
 
Parallel and Distributed Computation:
Numerical Methods
by D. P. Bertsekas and J. N. Tsitsiklis
  Network Flows
and Monotropic Optimization
by R. T. Rockafellar
Stochastic Optimal Control:
The Discrete-Time Case
by D. P. Bertsekas and S. E. Shreve
 
Network Optimization:
Continuous and Discrete Models
by D. P. Bertsekas
  Convex Optimization Algorithms
by D. P. Bertsekas
Lessons from AlphaZero for
Optimal, Model Predictive, and Adaptive Control
by D. P. Bertsekas
 
Rollout, Policy Iteration,
and Distributed Reinforcement Learning
by D. P. Bertsekas
  Dynamic Programming and Optimal Control,
Volume I
by D. P. Bertsekas
Dynamic Programming and Optimal Control,
Volume II
by D. P. Bertsekas
 
Convex Optimization
Theory
by D. P. Bertsekas
  Nonlinear Programming,
3rd Edition
by D. P. Bertsekas
Data Networks,
by D. P. Bertsekas and
R. G. Gallager
 
Neuro-Dynamic Programming
by D. P. Bertsekas and J. N. Tsitsiklis
  Introduction to Probability
by D. P. Bertsekas and J. N. Tsitsiklis
Abstract DP
3rd Edition
by D. P. Bertsekas
A Course in Reinforcement Learning
by D. P. Bertsekas
   


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Contact us by email at: info@athenasc.com
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