RULER (Relative Universal LLM-Elicited Rewards) eliminates the need for hand-crafted reward functions by using an LLM-as-judge to automatically score agent trajectories. Simply define your task in the ...
Indian Institute of Technology Delhi has announced the second batch of its Certificate Programme in Applied Data Science & ...
With RoboBallet, the complexity of computation also grew with the complexity of the system, but at a far slower rate. (The ...
The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, ...
Abstract: This paper investigates reinforcement learning algorithms for discrete-time stochastic multi-agent graphical games with multiplicative noise. The Bellman optimality equation for stochastic ...
Abstract: Distributed Artificial Intelligence-Generated Content (AIGC) has attracted significant attention, but two key challenges remain: maximizing subjective Quality of Experience (QoE) and ...