Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasksby Eura Nofshin, Siddharth Swaroop,…
Fully Independent Communication in Multi-Agent Reinforcement Learningby Rafael Pina, Varuna De Silva, Corentin Artaud, Xiaolan…
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficientlyby Zicun Cong, Shi Baoxu, Shan…
Off-Policy Primal-Dual Safe Reinforcement Learningby Zifan Wu, Bo Tang, Qian Lin, Chao Yu, Shangqin Mao,…
On the Limitations of Markovian Rewards to Express Multi-Objective, Risk-Sensitive, and Modal Tasksby Joar Skalse,…
Scilab-RL: A software framework for efficient reinforcement learning and cognitive modeling researchby Jan Dohmen, Frank…
True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learningby Weihao Tan,…
Constant Stepsize Q-learning: Distributional Convergence, Bias and Extrapolationby Yixuan Zhang, Qiaomin XieFirst submitted to arxiv…
HMM for Discovering Decision-Making Dynamics Using Reinforcement Learning Experimentsby Xingche Guo, Donglin Zeng, Yuanjia WangFirst…
The Definitive Guide to Policy Gradients in Deep Reinforcement Learning: Theory, Algorithms and Implementationsby Matthias…