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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Reinforcement Learning Algorithms: Analysis and Applications

Reinforcement Learning Algorithms: Analysis and Applications

Belousov, Boris
Abdulsamad, Hany
Klink, Pascal

Paperback

Series: Studies in Computational Intelligence, Book 883

Technology & EngineeringGeneral Computers

ISBN10: 3030411907
ISBN13: 9783030411909
Publisher: Springer Nature
Published: Jan 4 2022
Pages: 206
Weight: 0.68
Height: 0.46 Width: 6.14 Depth: 9.21
Language: English

Prediction Error and Actor-Critic Hypotheses in the Brain.- Reviewing on-policy / off-policy critic learning in the context of Temporal Differences and Residual Learning.- Reward Function Design in Reinforcement Learning.- Exploration Methods In Sparse Reward Environments.- A Survey on Constraining Policy Updates Using the KL Divergence.- Fisher Information Approximations in Policy Gradient Methods.- Benchmarking the Natural gradient in Policy Gradient Methods and Evolution Strategies.- Information-Loss-Bounded Policy Optimization.- Persistent Homology for Dimensionality Reduction.- Model-free Deep Reinforcement Learning - Algorithms and Applications.- Actor vs Critic.- Bring Color to Deep Q-Networks.- Distributed Methods for Reinforcement Learning.- Model-Based Reinforcement Learning.- Challenges of Model Predictive Control in a Black Box Environment.- Control as Inference?

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