Summary of Model-based Rl For Mean-field Games Is Not Statistically Harder Than Single-agent Rl, by Jiawei Huang et al.
Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RLby Jiawei Huang, Niao…
Summary of Learning Uncertainty-aware Temporally-extended Actions, by Joongkyu Lee et al.
Learning Uncertainty-Aware Temporally-Extended Actionsby Joongkyu Lee, Seung Joon Park, Yunhao Tang, Min-hwan OhFirst submitted to…
Summary of Multi-timescale Ensemble Q-learning For Markov Decision Process Policy Optimization, by Talha Bozkus and Urbashi Mitra
Multi-Timescale Ensemble Q-learning for Markov Decision Process Policy Optimizationby Talha Bozkus, Urbashi MitraFirst submitted to…
Summary of Differentially Private Deep Model-based Reinforcement Learning, by Alexandre Rio et al.
Differentially Private Deep Model-Based Reinforcement Learningby Alexandre Rio, Merwan Barlier, Igor Colin, Albert ThomasFirst submitted…
Summary of Offline Actor-critic Reinforcement Learning Scales to Large Models, by Jost Tobias Springenberg et al.
Offline Actor-Critic Reinforcement Learning Scales to Large Modelsby Jost Tobias Springenberg, Abbas Abdolmaleki, Jingwei Zhang,…
Summary of Kix: a Knowledge and Interaction-centric Metacognitive Framework For Task Generalization, by Arun Kumar et al.
KIX: A Knowledge and Interaction-Centric Metacognitive Framework for Task Generalizationby Arun Kumar, Paul SchraterFirst submitted…
Summary of Qgfn: Controllable Greediness with Action Values, by Elaine Lau et al.
QGFN: Controllable Greediness with Action Valuesby Elaine Lau, Stephen Zhewen Lu, Ling Pan, Doina Precup,…
Summary of Convergence For Natural Policy Gradient on Infinite-state Queueing Mdps, by Isaac Grosof et al.
Convergence for Natural Policy Gradient on Infinite-State Queueing MDPsby Isaac Grosof, Siva Theja Maguluri, R.…
Summary of Safety Filters For Black-box Dynamical Systems by Learning Discriminating Hyperplanes, By Will Lavanakul et al.
Safety Filters for Black-Box Dynamical Systems by Learning Discriminating Hyperplanesby Will Lavanakul, Jason J. Choi,…
Summary of Analyzing Adversarial Inputs in Deep Reinforcement Learning, by Davide Corsi et al.
Analyzing Adversarial Inputs in Deep Reinforcement Learningby Davide Corsi, Guy Amir, Guy Katz, Alessandro FarinelliFirst…