Valliappa Chockalingam
Valliappa Chockalingam
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Control of memory, active perception, and action in minecraft
J Oh, V Chockalingam, H Lee
International Conference on Machine Learning, 2790-2799, 2016
Detecting attacks on the can protocol with machine learning
V Chockalingam, I Larson, D Lin, S Nofzinger
Annu. EECS 588 (7), 2016
Sample-Efficient Model-based Actor-Critic for an Interactive Dialogue Task
K Kudashkina, V Chockalingam, GW Taylor, M Bowling
arXiv preprint arXiv:2004.13657, 2020
Extending World Models for Multi-Agent Reinforcement Learning in MALMÖ.
V Chockalingam, TTK Sung, F Behbahani, R Gargeya, A Sivanantham, ...
AIIDE Workshops, 2018
Learning to select mates in artificial life
DR Ashley, V Chockalingam, B Kuzma, V Bulitko
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
Neural Heterogeneous Scheduler
TT Sung, V Chockalingam, A Yahja, B Ryu
arXiv preprint arXiv:1906.03724, 2019
Interrelating Prediction and Control Objectives in Episodic Actor-Critic Reinforcement Learning
V Chockalingam
Learning to Select Mates in Evolving Non-playable Characters
DR Ashley, V Chockalingam, B Kuzma, V Bulitko
2019 IEEE Conference on Games (CoG), 1-8, 2019
Neural Heterogeneous Scheduler
T Taekyong Sung, V Chockalingam, A Yahja, B Ryu
arXiv e-prints, arXiv: 1906.03724, 2019
Interactions between Representation Learning and Supervision
V Chockalingam
Complex Systems 270-Agent Based Modelling Project 2-Expanding the Schelling Model
V Chockalingam, B Kittle, J Soni
Differentiable Neural Planners with Temporally Extended Actions
V Chockalingam, SS Baveja
Training Game-playing Agents through Deep Q Learning
V Chockalingam, H Ji, N Wu
Modeling the Effects of Parameter Changes on the Spiking Activity of Serotonergic Neurons
V Chockalingam, TS Nguyen, V Parakkattu
Ann Arbor 1001, 48109, 0
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