Abstract: This paper presents a simulation-based benchmarking analysis of three reinforcement learning (RL) algorithms—Soft Actor-Critic (SAC), Deep Q-Network (DQN), and Proximal Policy Optimization ...
The path planning capability of autonomous robots in complex environments is crucial for their widespread application in the real world. However, long-term decision-making and sparse reward signals ...
According to God of Prompt on Twitter, DeepMind has published groundbreaking research in Nature led by David Silver, introducing an AI meta-learning system capable of autonomously discovering entirely ...
BEIJING, Oct. 24, 2025 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that ...
Jersey City, N.J., is the latest city to ban the practice of setting rents based on recommendations from services that use algorithms and non-public data from nearby properties. The practice has ...
The 2025 NFL Draft will be held Thursday, April 24 through Saturday April 26 in Green Bay, Wisconsin, and Miami Dolphins fans overwhelmingly say they want a guard with the 13th pick. The Dolphins are ...
LLMs have gained outstanding reasoning capabilities through reinforcement learning (RL) on correctness rewards. Modern RL algorithms for LLMs, including GRPO, VinePPO, and Leave-one-out PPO, have ...
Reinforcement learning was tested as a means of improving liquid chromatography method development. Researchers from KU Leuven and Vrije Universiteit Brussel are advancing the use of reinforcement ...
Reinforcement learning was tested as a means of improving liquid chromatography method development. KU Leuven and Vrije Universiteit Brussel researchers led efforts to improve deep reinforcement ...
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