reinforcement learning

Tribological Performance of S-Glass and Graphene Reinforced Al6061 Composites: Experimental and Machine Learning Perspectives

PyCFRL: A Python library for counterfactually fair offline reinforcement learning via sequential data preprocessing

Reinforcement learning (RL) aims to learn and evaluate a sequential decision rule, often referred to as a "policy", that maximizes the population-level benefit in an environment across possibly infinitely many time steps. However, the sequential decisions made by an RL algorithm, while optimized to maximize overall pop...

Analytical coarse grained potential parameterization by reinforcement learning for anisotropic cellulose

Purkinje Cells in Crus I and II Encode the Visual Stimulus and the Impending Choice as Monkeys Learn a Reinforcement-Based Visuomotor Association Task

Evidence implicates the cerebellum in motor learning and performance and relatively simple sensorimotor associations such as classical conditioning. However, little is known about how Purkinje cells encode more complex associations, such as arbitrary stimulus–response mappings. To address this, we recorded from Crus I/...

Deep reinforcement learning-based optimization of reconfigurable intelligent surfaces (RIS) for 6G multi-user connectivity in NLOS environments

Abstract The transition towards the sixth generation (6G) of wireless networks requires ultra-high data rates and seamless connectivity, even in frequency bands like mmWave and THz, which are highly susceptible to physical blockages. RIS have emerged as a key technology in mitigating NLOS limitations through programmab...

Hierarchical thermal management integrating LSTM prediction and DDPG reinforcement learning for cascade waste heat recovery in a methanol reforming PEMFC ship

Experimental Push-Off Test Dataset for Shear Transfer Capacity in GFRP-Reinforced Concrete Interfaces

This dataset compiles experimental push-off test results for evaluating the shear transfer capacity of concrete interfaces reinforced with Glass Fiber-Reinforced Polymer (GFRP) reinforcement. The database includes geometric, material, and reinforcement-related parameters used to characterize the tested specimens, inclu...

Experimental Push-Off Test Dataset for Shear Transfer Capacity in GFRP-Reinforced Concrete Interfaces

This dataset compiles experimental push-off test results for evaluating the shear transfer capacity of concrete interfaces reinforced with Glass Fiber-Reinforced Polymer (GFRP) reinforcement. The database includes geometric, material, and reinforcement-related parameters used to characterize the tested specimens, inclu...

Modular Structure Parameter Generation Algorithm for Rapid Assembly and Disassembly in Temporary Environments

In view of the urgent demand for rapid assembly and disassembly of temporary modular structures, this paper proposes a parametric generation algorithm that places disassembly feasibility as a core constraint of scheme generation, prior to the verification stage at the end of design. A linkage representation system for...

Learning the Right Abstraction: Neural Reduced Dynamics for Complex Robot Control

A neural reduced dynamics framework is developed that separates the state the model propagates from what can be supplied as an input or recovered analytically, trains policies entirely inside the frozen learned model, and validates them back in the high-fidelity simulator.

Bayesian-Guided Cooperative RL Beamforming for Wireless Adversarial User Detection

It is demonstrated that the reinforcement learning-based approaches, namely Q-learning and SARSA (State-Action-Reward-State-Action), consistently outperform random selection in terms of total channel capacity, attacker detection accuracy, and performance stability.

Ask to Be Sure: Informative Interactions for Confident Multi-Turn LLM Recommendation

This work proposes a new approach that quantifies the effectiveness of each interaction by the reduction in the assistant's uncertainty, measured via entropy over recommendations, to fine-tune the LLM, enabling strategic interaction generation.