Summary of Selu: Self-learning Embodied Mllms in Unknown Environments, by Boyu Li et al.
SELU: Self-Learning Embodied MLLMs in Unknown Environmentsby Boyu Li, Haobin Jiang, Ziluo Ding, Xinrun Xu,…
Summary of Mitigating Adversarial Perturbations For Deep Reinforcement Learning Via Vector Quantization, by Tung M. Luu et al.
Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantizationby Tung M. Luu, Thanh Nguyen,…
Summary of Can Llms Generate Diverse Molecules? Towards Alignment with Structural Diversity, by Hyosoon Jang et al.
Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversityby Hyosoon Jang, Yunhui Jang, Jaehyung…
Summary of Spatial-aware Decision-making with Ring Attractors in Reinforcement Learning Systems, by Marcos Negre Saura et al.
Spatial-aware decision-making with ring attractors in reinforcement learning systemsby Marcos Negre Saura, Richard Allmendinger, Wei…
Summary of Finite-sample Analysis Of the Monte Carlo Exploring Starts Algorithm For Reinforcement Learning, by Suei-wen Chen et al.
Finite-Sample Analysis of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learningby Suei-Wen Chen, Keith…
Summary of Relic: a Recipe For 64k Steps Of In-context Reinforcement Learning For Embodied Ai, by Ahmad Elawady et al.
ReLIC: A Recipe for 64k Steps of In-Context Reinforcement Learning for Embodied AIby Ahmad Elawady,…
Summary of A Prospect-theoretic Policy Gradient Algorithm For Behavioral Alignment in Reinforcement Learning, by Olivier Lepel et al.
A Prospect-Theoretic Policy Gradient Algorithm for Behavioral Alignment in Reinforcement Learningby Olivier Lepel, Anas BarakatFirst…
Summary of Dual Active Learning For Reinforcement Learning From Human Feedback, by Pangpang Liu et al.
Dual Active Learning for Reinforcement Learning from Human Feedbackby Pangpang Liu, Chengchun Shi, Will Wei…
Summary of Semantic-guided Rl For Interpretable Feature Engineering, by Mohamed Bouadi et al.
Semantic-Guided RL for Interpretable Feature Engineeringby Mohamed Bouadi, Arta Alavi, Salima Benbernou, Mourad OuziriFirst submitted…
Summary of Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning Via Equivariance, by Joshua Mcclellan et al.
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivarianceby Joshua McClellan, Naveed Haghani,…