Summary of Do Transformer World Models Give Better Policy Gradients?, by Michel Ma et al.
Do Transformer World Models Give Better Policy Gradients?by Michel Ma, Tianwei Ni, Clement Gehring, Pierluca…
Summary of Interactive Symbolic Regression Through Offline Reinforcement Learning: a Co-design Framework, by Yuan Tian et al.
Interactive Symbolic Regression through Offline Reinforcement Learning: A Co-Design Frameworkby Yuan Tian, Wenqi Zhou, Michele…
Summary of Three Pathways to Neurosymbolic Reinforcement Learning with Interpretable Model and Policy Networks, by Peter Graf and Patrick Emami
Three Pathways to Neurosymbolic Reinforcement Learning with Interpretable Model and Policy Networksby Peter Graf, Patrick…
Summary of Compressing Deep Reinforcement Learning Networks with a Dynamic Structured Pruning Method For Autonomous Driving, by Wensheng Su et al.
Compressing Deep Reinforcement Learning Networks with a Dynamic Structured Pruning Method for Autonomous Drivingby Wensheng…
Summary of Flowpg: Action-constrained Policy Gradient with Normalizing Flows, by Janaka Chathuranga Brahmanage et al.
FlowPG: Action-constrained Policy Gradient with Normalizing Flowsby Janaka Chathuranga Brahmanage, Jiajing Ling, Akshat KumarFirst submitted…
Summary of Learning Mirror Maps in Policy Mirror Descent, by Carlo Alfano et al.
Learning mirror maps in policy mirror descentby Carlo Alfano, Sebastian Towers, Silvia Sapora, Chris Lu,…
Summary of Context in Public Health For Underserved Communities: a Bayesian Approach to Online Restless Bandits, by Biyonka Liang et al.
Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Banditsby Biyonka…
Summary of Explaining Learned Reward Functions with Counterfactual Trajectories, by Jan Wehner et al.
Explaining Learned Reward Functions with Counterfactual Trajectoriesby Jan Wehner, Frans Oliehoek, Luciano Cavalcante SiebertFirst submitted…
Summary of Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-aware Policy, By Ruichu Cai et al.
Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policyby Ruichu Cai, Siyang…
Summary of Code As Reward: Empowering Reinforcement Learning with Vlms, by David Venuto et al.
Code as Reward: Empowering Reinforcement Learning with VLMsby David Venuto, Sami Nur Islam, Martin Klissarov,…