影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
51.48/100
前 7.8%
全站排名 #5,044
发表论文11 篇
平均评分
年均产出3.7 篇/年
Christopher Amato
研究方向
multi-agent reinforcement learning · multi-agent planning · partially observable reinforcement learning · planning under partial observability · POMDPs · multi-robot systems
16
Beware Untrusted Simulators -- Reward-Free Backdoor Attacks in Reinforcement Learning
ICLR 2026Poster
通讯14
MARL2Grid-TR: A Multi-Agent RL Benchmark in Power Grid Operations
ICLR 2026Poster
11
Fixing Incomplete Value Function Decomposition for Multi-Agent Reinforcement Learning
ICLR 2026Rejected
通讯12
Accelerating Model-Based Reinforcement Learning Using Equivariance
ICLR 2026Rejected
-1
Decentralized Asymmetric DQN: Decentralisation without factorisation in Multi Agent Reinforcement Learning
ICLR 2026Desk Rejected
通讯34
Adversarial Inception for Bounded Backdoor Poisoning in Deep Reinforcement Learning
ICLR 2025Rejected
二作7
Adversarial Inception Backdoor Attacks against Reinforcement Learning
ICML 2025Poster
三作11
Asynchronous Factorization for Multi-Agent Reinforcement Learning
ICLR 2025Rejected
通讯13
Fixing Value Function Decomposition for Multi-Agent Reinforcement Learning
ICML 2025Rejected
通讯