Aerospace and Mechanical Insider on MSN
Hierarchical reinforcement learning boosts air defense efficiency
Modern air defense confrontations demand rapid, precise task assignments in environments where threats evolve within seconds.
Many of the insights hitting soccer pitches today trace back to Jesse Davis and a team of computer scientists open-sourcing tools for some of the sport’s trickiest problems.
Aerospace and Mechanical Insider on MSN
Landmark-driven DRL boosts mobile robot navigation
Mobile robots are increasingly deployed in applications ranging from household cleaning to hazardous industrial inspection, ...
DeepSeek speculative decoding framework DSpark went live June 27 on V4-Flash and V4-Pro, reporting up to 85 percent faster ...
Abstract: In stochastic dynamic environments, multiagent Markov decision processes have emerged as a versatile paradigm for studying sequential decision-making problems of fully cooperative multiagent ...
Abstract: A two-timescale simulation-based actor-critic algorithm for solution of infinite horizon Markov decision processes with finite state and compact action spaces under the discounted cost ...
Ultrasound and artificial intelligence-guided algae microrobots delivered chemotherapy deep into tumors in mice, paving the way to improved bladder cancer care.
Markov Decision Processes -- An agent chooses actions that influence both state transitions and rewards. The Bellman equation characterizes the optimal policy, and solution methods (value iteration, ...
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