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Sam Powers
Sam Powers
Verified email at cs.cmu.edu
Title
Cited by
Cited by
Year
Cora: Benchmarks, baselines, and metrics as a platform for continual reinforcement learning agents
S Powers, E Xing, E Kolve, R Mottaghi, A Gupta
Conference on Lifelong Learning Agents, 705-743, 2022
312022
Kitchenshift: Evaluating zero-shot generalization of imitation-based policy learning under domain shifts
E Xing, A Gupta, S Powers, V Dean
NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and …, 2021
142021
Spatial-language attention policies for efficient robot learning
P Parashar, V Jain, X Zhang, J Vakil, S Powers, Y Bisk, C Paxton
arXiv preprint arXiv:2304.11235, 2023
72023
An alternative formalism for modeling spin
S Powers, D Stojkovic
The European Physical Journal C 82 (8), 690, 2022
32022
Evaluating Continual Learning on a Home Robot
S Powers, A Gupta, C Paxton
arXiv preprint arXiv:2306.02413, 2023
22023
Testing a discrete model for quantum spin with two sequential Stern-Gerlach detectors and photon Fock states
S Powers, G Xu, H Fotso, T Thomay, D Stojkovic
arXiv preprint arXiv:2304.13535, 2023
22023
Self-activating neural ensembles for continual reinforcement learning
S Powers, E Xing, A Gupta
Conference on Lifelong Learning Agents, 683-704, 2022
22022
SLAP: Spatial-Language Attention Policies
P Parashar, V Jain, X Zhang, J Vakil, S Powers, Y Bisk, C Paxton
7th Annual Conference on Robot Learning, 2023
12023
An event centric approach to modeling quantum systems
S Powers, D Stojkovic
arXiv preprint arXiv:2306.14922, 2023
12023
Evaluating Generalization of Policy Learning Under Domain Shifts
E Xing, A Gupta, S Powers, V Dean
12021
A New Quantum Ontology: A Statistical Theory of Event Networks Built From Classical Bits
S Powers
State University of New York at Buffalo, 2023
2023
Beyond Quantum Mechanics
S Powers, D Stojkovic
arXiv e-prints, arXiv: 2110.13617, 2021
2021
PMID: 25810752 [PubMed] Free PMC Article
GL McPhail, Z Ehsan, SA Howells, RP Boesch, MC Fenchel, ...
Eur J Orthop Surg Traumatol, 2015
2015
Introspective Neural Networks
S Powers, L Keselman
CORA: Benchmarks, Baselines, and a Platform for Continual Reinforcement Learning Agents
S Powers, E Xing, E Kolve, R Mottaghi, A Gupta
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Articles 1–15