STORM: Efficient stochastic transformer based world models for reinforcement learning
Recently, model-based reinforcement learning algorithms have demonstrated remarkable
efficacy in visual input environments. These approaches begin by constructing a …
efficacy in visual input environments. These approaches begin by constructing a …
Lightzero: A unified benchmark for monte carlo tree search in general sequential decision scenarios
Building agents based on tree-search planning capabilities with learned models has
achieved remarkable success in classic decision-making problems, such as Go and Atari …
achieved remarkable success in classic decision-making problems, such as Go and Atari …
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey
Deep reinforcement learning has led to dramatic breakthroughs in the field of artificial
intelligence for the past few years. As the amount of rollout experience data and the size of …
intelligence for the past few years. As the amount of rollout experience data and the size of …
Don't overlook any detail: Data-efficient reinforcement learning with visual attention
J Ma, C Li, Z Feng, L Xiao, C He, Y Zhang - Knowledge-Based Systems, 2025 - Elsevier
With the widespread application of visual reinforcement learning across various domains,
the introduction of visual attention mechanisms aims to emulate human visual tasks …
the introduction of visual attention mechanisms aims to emulate human visual tasks …
ReZero: Boosting MCTS-based Algorithms by Just-in-Time and Speedy Reanalyze
MCTS-based algorithms, such as MuZero and its derivatives, have achieved widespread
success in various decision-making domains. These algorithms employ the reanalyze …
success in various decision-making domains. These algorithms employ the reanalyze …