Summary of Model-based Policy Optimization Using Symbolic World Model, by Andrey Gorodetskiy et al.
Model-based Policy Optimization using Symbolic World Modelby Andrey Gorodetskiy, Konstantin Mironov, Aleksandr PanovFirst submitted to…
Summary of Analyzing and Bridging the Gap Between Maximizing Total Reward and Discounted Reward in Deep Reinforcement Learning, by Shuyu Yin et al.
Analyzing and Bridging the Gap between Maximizing Total Reward and Discounted Reward in Deep Reinforcement…
Summary of Geometric Active Exploration in Markov Decision Processes: the Benefit Of Abstraction, by Riccardo De Santi et al.
Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstractionby Riccardo De Santi, Federico…
Summary of Reconfigurable Intelligent Surface Aided Vehicular Edge Computing: Joint Phase-shift Optimization and Multi-user Power Allocation, by Kangwei Qi et al.
Reconfigurable Intelligent Surface Aided Vehicular Edge Computing: Joint Phase-shift Optimization and Multi-User Power Allocationby Kangwei…
Summary of Pg-rainbow: Using Distributional Reinforcement Learning in Policy Gradient Methods, by Woojae Jeon et al.
PG-Rainbow: Using Distributional Reinforcement Learning in Policy Gradient Methodsby WooJae Jeon, KangJun Lee, Jeewoo LeeFirst…
Summary of Data-driven Estimation Of Conditional Expectations, Application to Optimal Stopping and Reinforcement Learning, by George V. Moustakides
Data-Driven Estimation of Conditional Expectations, Application to Optimal Stopping and Reinforcement Learningby George V. MoustakidesFirst…
Summary of Maintenance Strategies For Sewer Pipes with Multi-state Degradation and Deep Reinforcement Learning, by Lisandro A. Jimenez-roa et al.
Maintenance Strategies for Sewer Pipes with Multi-State Degradation and Deep Reinforcement Learningby Lisandro A. Jimenez-Roa,…
Summary of Sparsity-based Safety Conservatism For Constrained Offline Reinforcement Learning, by Minjae Cho et al.
Sparsity-based Safety Conservatism for Constrained Offline Reinforcement Learningby Minjae Cho, Chuangchuang SunFirst submitted to arxiv…
Summary of Variable-agnostic Causal Exploration For Reinforcement Learning, by Minh Hoang Nguyen et al.
Variable-Agnostic Causal Exploration for Reinforcement Learningby Minh Hoang Nguyen, Hung Le, Svetha VenkateshFirst submitted to…
Summary of Estimating Reaction Barriers with Deep Reinforcement Learning, by Adittya Pal
Estimating Reaction Barriers with Deep Reinforcement Learningby Adittya PalFirst submitted to arxiv on: 17 Jul…