Though it is many decades since paper tape was commonly used as a data input or storage medium, it still holds a fascination for many who work with computers. Over the years we’ve featured more ...
Though it is many decades since paper tape was commonly used as a data input or storage medium, it still holds a fascination for many who work with computers. Over the years we’ve featured more ...
Various approaches include producing reasoning steps in response to some prompt or using sampling and training models to generate the same step. Reinforcement learning is more likely to give ...
Ms. Pryor, whose experience as a dolphin trainer showed her how positive reinforcement could be used to train just about any animal, including horses, dogs, cats and people, died on Jan.
"Agents" originated in reinforcement learning, where they learn by interacting with an environment and receiving a reward signal. However, LLM-based agents today do not learn online (i.e. continuously ...
This paper studies the behavior decision-making process of UAV swarm rendezvous task based on the double deep Q network (DDQN) algorithm. We design a guided reward function to effectively solve the ...
This paper proposes a general framework called Training an Agent Manually via Evaluative Reinforcement (TAMER) that allows a human to train a learning agent to perform a common class of complex tasks ...
TRL is a cutting-edge library designed for post-training foundation models using advanced techniques like Supervised Fine-Tuning (SFT), Proximal Policy Optimization (PPO), and Direct Preference ...