Summary of Rich-observation Reinforcement Learning with Continuous Latent Dynamics, by Yuda Song et al.
Rich-Observation Reinforcement Learning with Continuous Latent Dynamicsby Yuda Song, Lili Wu, Dylan J. Foster, Akshay…
Summary of Ompo: a Unified Framework For Rl Under Policy and Dynamics Shifts, by Yu Luo et al.
OMPO: A Unified Framework for RL under Policy and Dynamics Shiftsby Yu Luo, Tianying Ji,…
Summary of A Study Of Plasticity Loss in On-policy Deep Reinforcement Learning, by Arthur Juliani et al.
A Study of Plasticity Loss in On-Policy Deep Reinforcement Learningby Arthur Juliani, Jordan T. AshFirst…
Summary of Long-horizon Rollout Via Dynamics Diffusion For Offline Reinforcement Learning, by Hanye Zhao et al.
Long-Horizon Rollout via Dynamics Diffusion for Offline Reinforcement Learningby Hanye Zhao, Xiaoshen Han, Zhengbang Zhu,…
Summary of Are You Sure? Rank Them Again: Repeated Ranking For Better Preference Datasets, by Peter Devine
Are You Sure? Rank Them Again: Repeated Ranking For Better Preference Datasetsby Peter DevineFirst submitted…
Summary of Optimizing Vehicular Networks with Variational Quantum Circuits-based Reinforcement Learning, by Zijiang Yan et al.
Optimizing Vehicular Networks with Variational Quantum Circuits-based Reinforcement Learningby Zijiang Yan, Ramsundar Tanikella, Hina TabassumFirst…
Summary of Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space, by Minji Lee et al.
Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Spaceby Minji Lee, Luiz…
Summary of Efficient Exploration in Average-reward Constrained Reinforcement Learning: Achieving Near-optimal Regret with Posterior Sampling, by Danil Provodin et al.
Efficient Exploration in Average-Reward Constrained Reinforcement Learning: Achieving Near-Optimal Regret With Posterior Samplingby Danil Provodin,…
Summary of Trust the Model Where It Trusts Itself — Model-based Actor-critic with Uncertainty-aware Rollout Adaption, by Bernd Frauenknecht et al.
Trust the Model Where It Trusts Itself – Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaptionby Bernd…
Summary of Statistical Context Detection For Deep Lifelong Reinforcement Learning, by Jeffery Dick et al.
Statistical Context Detection for Deep Lifelong Reinforcement Learningby Jeffery Dick, Saptarshi Nath, Christos Peridis, Eseoghene…