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researcher

Jason Pazis

2 papers hereh-index 121.1k citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedDeep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability

180 citations · 180 across the 1 of their papers we have counts for

collaborators

2 papers

cs.AI2017

Crossmodal Attentive Skill Learner

Shayegan Omidshafiei, Dong-Ki Kim, Jason Pazis +1

This paper presents the Crossmodal Attentive Skill Learner (CASL), integrated with the recently-introduced Asynchronous Advantage Option-Critic (A2OC) architecture [Harb et al., 20…

cs.LG2017★ 180 cited

Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability

Shayegan Omidshafiei, Jason Pazis, Christopher Amato +2

Many real-world tasks involve multiple agents with partial observability and limited communication. Learning is challenging in these settings due to local viewpoints of agents, whi…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.