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Found 7 papers, 3 papers with code
Towards Painless Policy Optimization for Constrained MDPs
We propose a generic primal-dual framework that allows us to bound the reward sub-optimality and constraint violation for arbitrary algorithms in terms of their primal and dual regret on online linear optimization problems.
TSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words
In this paper, we propose to train a deep network to capture the spatial associations between different word pairs present in the table image for unravelling the table structure.
Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams
A novel and efficient kernel-based line detection and a two-step method for detection of complex symbols based on a fine-grained deep recognition technique is presented in the paper.
Variance Penalized On-Policy and Off-Policy Actor-Critic
Reinforcement learning algorithms are typically geared towards optimizing the expected return of an agent.
Audrey: A Personalized Open-Domain Conversational Bot
Conversational Intelligence requires that a person engage on informational, personal and relational levels.
Safe Option-Critic: Learning Safety in the Option-Critic Architecture
We propose an optimization objective that learns safe options by encouraging the agent to visit states with higher behavioural consistency.
On Matching Skulls to Digital Face Images: A Preliminary Approach
Forensic application of automatically matching skull with face images is an important research area linking biometrics with practical applications in forensics.
