Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Prasad Tadepalli

Prasad Tadepalli

Parametrically Retargetable Decision-Makers Tend To Seek Power

Jun 27, 2022
Alexander Matt Turner, Prasad Tadepalli

Figure 1 for Parametrically Retargetable Decision-Makers Tend To Seek Power

Figure 2 for Parametrically Retargetable Decision-Makers Tend To Seek Power

Figure 3 for Parametrically Retargetable Decision-Makers Tend To Seek Power

Figure 4 for Parametrically Retargetable Decision-Makers Tend To Seek Power

* 9-page main paper, 33 pages total

Access Paper or Ask Questions

Formalizing the Problem of Side Effect Regularization

Jun 24, 2022
Alexander Matt Turner, Aseem Saxena, Prasad Tadepalli

Figure 1 for Formalizing the Problem of Side Effect Regularization

Figure 2 for Formalizing the Problem of Side Effect Regularization

* 13 pages, 2 figures

Access Paper or Ask Questions

Formalizing the Problem of Side-Effect Avoidance

Jun 23, 2022
Alexander Matt Turner, Aseem Saxena, Prasad Tadepalli

Figure 1 for Formalizing the Problem of Side-Effect Avoidance

Figure 2 for Formalizing the Problem of Side-Effect Avoidance

* 13 pages, 2 figures

Access Paper or Ask Questions

Explainable Models via Compression of Tree Ensembles

Jun 16, 2022
Siwen Yan, Sriraam Natarajan, Saket Joshi, Roni Khardon, Prasad Tadepalli

Figure 1 for Explainable Models via Compression of Tree Ensembles

Figure 2 for Explainable Models via Compression of Tree Ensembles

Figure 3 for Explainable Models via Compression of Tree Ensembles

Figure 4 for Explainable Models via Compression of Tree Ensembles

* 24 pages, 14 figures

Access Paper or Ask Questions

Dynamic probabilistic logic models for effective abstractions in RL

Oct 15, 2021
Harsha Kokel, Arjun Manoharan, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli

Figure 1 for Dynamic probabilistic logic models for effective abstractions in RL

* Accepted at StarAI 2021 (held in conjunction with IJCLR 2021)

Access Paper or Ask Questions

From Heatmaps to Structural Explanations of Image Classifiers

Sep 13, 2021
Li Fuxin, Zhongang Qi, Saeed Khorram, Vivswan Shitole, Prasad Tadepalli, Minsuk Kahng, Alan Fern

Figure 1 for From Heatmaps to Structural Explanations of Image Classifiers

Figure 2 for From Heatmaps to Structural Explanations of Image Classifiers

Figure 3 for From Heatmaps to Structural Explanations of Image Classifiers

* Submitted to Applied AI Letters

Access Paper or Ask Questions

Structured Attention Graphs for Understanding Deep Image Classifications

Dec 08, 2020
Vivswan Shitole, Li Fuxin, Minsuk Kahng, Prasad Tadepalli, Alan Fern

Figure 1 for Structured Attention Graphs for Understanding Deep Image Classifications

Figure 2 for Structured Attention Graphs for Understanding Deep Image Classifications

Figure 3 for Structured Attention Graphs for Understanding Deep Image Classifications

Figure 4 for Structured Attention Graphs for Understanding Deep Image Classifications

* 26 pages, 25 figures

Access Paper or Ask Questions

DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs

Oct 18, 2020
Aayam Shrestha, Stefan Lee, Prasad Tadepalli, Alan Fern

Figure 1 for DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs

Figure 2 for DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs

Figure 3 for DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs

Figure 4 for DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs

* Preprint. Under review at ICLR 2021

Access Paper or Ask Questions