Reinforcement learning (RL) is a paradigm for learning sequential decision making tasks. However, typically the user must hand-tune exploration parameters for each different domain and/or algorithm ...

The ABA Law Student Division Negotiation Competition provides a means for law students to practice and improve their negotiating skills. The competition simulates legal negotiations in which law ...

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"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 ...

Reviewed by Charissa Chamorro, PhD In parenting discussions, “self-regulation” often pertains to temper tantrums, behavioral ...

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 ...

We provide in-home and community-based ABA therapy, offering personalized plans, expert assessments, and parent training. Our specialty is creating strategies to improve behavior, build skills ...