Ajin Joseph

Affiliations:
  • University of Alberta, Edmonton, AB, Canada
  • Indian Institute of Science, Bangalore, India (former)


According to our database1, Ajin Joseph authored at least 16 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2023
Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Monotonic Model Improvement Self-Play Algorithm for Adversarial Games.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2019
Two-Timescale Networks for Nonlinear Value Function Approximation.
Proceedings of the 7th International Conference on Learning Representations, 2019

An Adaptive and Incremental Approach to Quantile Estimation.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Stochastic Approximation Trackers for Model-Based Search.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
An online prediction algorithm for reinforcement learning with linear function approximation using cross entropy method.
Mach. Learn., 2018

An incremental off-policy search in a model-free Markov decision process using a single sample path.
Mach. Learn., 2018

Actor-Expert: A Framework for using Action-Value Methods in Continuous Action Spaces.
CoRR, 2018

A Cross Entropy based Optimization Algorithm with Global Convergence Guarantees.
CoRR, 2018

2017
An Incremental Fast Policy Search Using a Single Sample Path.
Proceedings of the Pattern Recognition and Machine Intelligence, 2017

Bounds for off-policy prediction in reinforcement learning.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A model based search method for prediction in model-free Markov decision process.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
A Cross Entropy based Stochastic Approximation Algorithm for Reinforcement Learning with Linear Function Approximation.
CoRR, 2016

A randomized algorithm for continuous optimization.
Proceedings of the Winter Simulation Conference, 2016

Revisiting the Cross Entropy Method with Applications in Stochastic Global Optimization and Reinforcement Learning.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015
A Stochastic Approximation Algorithm for Quantile Estimation.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015


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