Summary of Double Successive Over-relaxation Q-learning with An Extension to Deep Reinforcement Learning, by Shreyas S R
Double Successive Over-Relaxation Q-Learning with an Extension to Deep Reinforcement Learningby Shreyas S RFirst submitted…
Summary of Simplex-enabled Safe Continual Learning Machine, by Hongpeng Cao et al.
Simplex-enabled Safe Continual Learning Machineby Hongpeng Cao, Yanbing Mao, Yihao Cai, Lui Sha, Marco CaccamoFirst…
Summary of State-novelty Guided Action Persistence in Deep Reinforcement Learning, by Jianshu Hu et al.
State-Novelty Guided Action Persistence in Deep Reinforcement Learningby Jianshu Hu, Paul Weng, Yutong BanFirst submitted…
Summary of Bamdp Shaping: a Unified Theoretical Framework For Intrinsic Motivation and Reward Shaping, by Aly Lidayan et al.
BAMDP Shaping: a Unified Theoretical Framework for Intrinsic Motivation and Reward Shapingby Aly Lidayan, Michael…
Summary of Improving Deep Reinforcement Learning by Reducing the Chain Effect Of Value and Policy Churn, By Hongyao Tang and Glen Berseth
Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churnby Hongyao…
Summary of Reward-directed Score-based Diffusion Models Via Q-learning, by Xuefeng Gao et al.
Reward-Directed Score-Based Diffusion Models via q-Learningby Xuefeng Gao, Jiale Zha, Xun Yu ZhouFirst submitted to…
Summary of Sample and Oracle Efficient Reinforcement Learning For Mdps with Linearly-realizable Value Functions, by Zakaria Mhammedi
Sample and Oracle Efficient Reinforcement Learning for MDPs with Linearly-Realizable Value Functionsby Zakaria MhammediFirst submitted…
Summary of Soft Actor-critic with Beta Policy Via Implicit Reparameterization Gradients, by Luca Della Libera
Soft Actor-Critic with Beta Policy via Implicit Reparameterization Gradientsby Luca Della LiberaFirst submitted to arxiv…
Summary of Lmgt: Optimizing Exploration-exploitation Balance in Reinforcement Learning Through Language Model Guided Trade-offs, by Yongxin Deng et al.
LMGT: Optimizing Exploration-Exploitation Balance in Reinforcement Learning through Language Model Guided Trade-offsby Yongxin Deng, Xihe…
Summary of Gaussian-mixture-model Q-functions For Reinforcement Learning by Riemannian Optimization, By Minh Vu and Konstantinos Slavakis
Gaussian-Mixture-Model Q-Functions for Reinforcement Learning by Riemannian Optimizationby Minh Vu, Konstantinos SlavakisFirst submitted to arxiv…