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
48.66/100
前 9.2%
全站排名 #5,953
发表论文9 篇
平均评分
年均产出3.0 篇/年
Pratap Tokekar
研究方向
robotics · multi-agent reinforcement learning · motion planning
21
On the Global Optimality of Policy Gradient Methods in General Utility Reinforcement Learning
NeurIPS 2025Poster
26
CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems
NeurIPS 2025Poster
31
Sketch-to-Skill: Bootstrapping Robot Learning with Human Drawn Trajectory Sketches
ICLR 2025Rejected
通讯26
On the Sample Complexity of a Policy Gradient Algorithm with Occupancy Approximation for General Utility Reinforcement Learning
ICLR 2025Rejected