occupancy measure
- North America > United States > California > Los Angeles County > Los Angeles (0.28)
- North America > United States > Oregon > Benton County > Corvallis (0.04)
- North America > United States > California > San Mateo County > Menlo Park (0.04)
- (2 more...)
- Research Report > Experimental Study (1.00)
- Instructional Material (0.65)
- Information Technology (1.00)
- Health & Medicine (1.00)
- Information Technology > Artificial Intelligence > Robots (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning (1.00)
- Information Technology > Artificial Intelligence > Natural Language (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (0.93)
The Value of Reward Lookahead in Reinforcement Learning
In reinforcement learning (RL), agents sequentially interact with changing environments while aiming to maximize the obtained rewards.
Imitation Learning from Vague Feedback
Imitation learning from human feedback studies how to train well-performed imitation agents with an annotator's relative comparison of two demonstrations
- Asia > Japan > Honshū > Kantō > Tokyo Metropolis Prefecture > Tokyo (0.14)
- North America > United States > California > Los Angeles County > Long Beach (0.14)
- Europe > United Kingdom > England > Oxfordshire > Oxford (0.14)
- (14 more...)
On Imitation in Mean-field Games
In this paper, departing from the existing literature on IL for MFGs, we introduce a new solution concept called the Nash imitation gap.
- Asia > China > Shanghai > Shanghai (0.04)
- Europe > Switzerland > Zürich > Zürich (0.04)
- Europe > Germany > Baden-Württemberg > Tübingen Region > Tübingen (0.04)
On Imitation in Mean-field Games
In this paper, departing from the existing literature on IL for MFGs, we introduce a new solution concept called the Nash imitation gap.
- Asia > China > Shanghai > Shanghai (0.04)
- Europe > Switzerland > Zürich > Zürich (0.04)
- Europe > Germany > Baden-Württemberg > Tübingen Region > Tübingen (0.04)
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (0.94)
- Information Technology > Artificial Intelligence > Robots (0.71)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.68)
Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs
The interaction is usually modeled as Markov Decision Processes (MDPs). Research on MDPs can be broadly divided into two lines based on the reward generation mechanism. The first line of work [Jaksch et al., 2010, Azar et al., 2013, 2017, He et al., 2021] considers the
- Asia > Middle East > Jordan (0.04)
- Asia > China > Jiangsu Province > Nanjing (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Information Technology > Artificial Intelligence > Representation & Reasoning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (0.47)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Undirected Networks > Markov Models (0.34)
Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities
In fact, the interaction of these two aspects requires addressing the fact that each agent's own safety constraint requires information from all others.
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- South America > Chile > Santiago Metropolitan Region > Santiago Province > Santiago (0.04)
- Research Report > New Finding (0.67)
- Overview (0.67)
Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities
In fact, the interaction of these two aspects requires addressing the fact that each agent's own safety constraint requires information from all others.
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- South America > Chile > Santiago Metropolitan Region > Santiago Province > Santiago (0.04)
- North America > United States > Massachusetts > Middlesex County > Belmont (0.04)
- North America > Canada (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Information Technology > Artificial Intelligence > Representation & Reasoning (1.00)
- Information Technology > Data Science > Data Mining (0.95)
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (0.68)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Undirected Networks > Markov Models (0.48)