Reinforcement Learning
A Definition of Continual Reinforcement Learning
In a standard view of the reinforcement learning problem, an agent's goal is to efficiently identify a policy that maximizes long-term reward.
Generalized Weighted Path Consistency for Mastering Atari Games
Reinforcement learning with the help of neural-guided search consumes huge computational resources to achieve remarkable performance.
Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning
We provide both theoretical analysis and experimental results to validate the effectiveness of our proposed algorithm.
Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization
To this end, we introduce Poppy, a simple training procedure for populations.
Creating Multi-Level Skill Hierarchies in Reinforcement Learning S
They had four primitive actions: north, south, east, and west. Multi-Floor Office is an extension of Office to multiple floors. Pick-up and put-down have the intended effect when appropriate; otherwise they do not change the state. T owers of Hanoi contains four discs of different sizes, placed on three poles. Options generated using alternative methods called primitive actions directly.