Christopher Amato
27 papers · 2013–2026 · 8 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 48% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Christopher Amato?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Andrea Baisero, Brett Daley, Yuchen Xiao
13 papers
· 2019–2026
· CoRL, AAAI, NeurIPS
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LLM Collaboration with Multi-Agent Reinforcement Learning
AAAI 2026
Leveraging Mutual Information for Asymmetric Learning under Partial Observability
CoRL 2024
Equivariant Reinforcement Learning under Partial Observability
CoRL 2023
Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning
ICML 2023
A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning
AAAI 2022
Asymmetric DQN for partially observable reinforcement learning
UAI 2022
Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning
NeurIPS 2022
Leveraging Fully Observable Policies for Learning under Partial Observability
CoRL 2022
Reconciling Rewards with Predictive State Representations
IJCAI 2021
Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability
CoRL 2020
Multi-Agent/Robot Deep Reinforcement Learning with Macro-Actions (Student Abstract)
AAAI 2020
Macro-Action-Based Deep Multi-Agent Reinforcement Learning
CoRL 2019
Reconciling λ-Returns with Experience Replay
NeurIPS 2019
7 papers whose co-authors appear nowhere else under this name
Improving Deep Policy Gradients with Value Function Search
ICLR 2023
Shield Decentralization for Safe Multi-Agent Reinforcement Learning
NeurIPS 2022
Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps
CoRL 2020
Decision-Making Under Uncertainty in Multi-Agent and Multi-Robot Systems: Planning and Learning
IJCAI 2018
COG-DICE: An Algorithm for Solving Continuous-Observation Dec-POMDPs
IJCAI 2017
Learning in POMDPs with Monte Carlo Tree Search
ICML 2017
Policy Search for Multi-Robot Coordination under Uncertainty
RSS 2015