activity
20132026
most citedProgrammatically Interpretable Reinforcement Learning

94 citations · 449 across the 53 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

cs.AI2022★ 6 cited

Neurosymbolic Programming for Science

Jennifer J. Sun, Megan Tjandrasuwita, Atharva Sehgal +4

Neurosymbolic Programming (NP) techniques have the potential to accelerate scientific discovery. These models combine neural and symbolic components to learn complex patterns and r…

cs.SC2022★ 18 cited

CFLOBDDs: Context-Free-Language Ordered Binary Decision Diagrams

Meghana Sistla, Swarat Chaudhuri, Thomas Reps

This paper presents a new compressed representation of Boolean functions, called CFLOBDDs (for Context-Free-Language Ordered Binary Decision Diagrams). They are essentially a plug-…

cs.CL2022★ 1 cited

Natural Language Deduction with Incomplete Information

Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri +1

A growing body of work studies how to answer a question or verify a claim by generating a natural language "proof": a chain of deductive inferences yielding the answer based on a s…

cs.LG2022

Guiding Safe Exploration with Weakest Preconditions

Greg Anderson, Swarat Chaudhuri, Isil Dillig

In reinforcement learning for safety-critical settings, it is often desirable for the agent to obey safety constraints at all points in time, including during training. We present…

cs.LG2022★ 3 cited

Policy Optimization with Linear Temporal Logic Constraints

Cameron Voloshin, Hoang M. Le, Swarat Chaudhuri +1

We study the problem of policy optimization (PO) with linear temporal logic (LTL) constraints. The language of LTL allows flexible description of tasks that may be unnatural to enc…

cs.LG2022★ 4 cited

Safe Neurosymbolic Learning with Differentiable Symbolic Execution

Chenxi Yang, Swarat Chaudhuri

We study the problem of learning worst-case-safe parameters for programs that use neural networks as well as symbolic, human-written code. Such neurosymbolic programs arise in many…

cs.CL2022★ 1 cited

Natural Language Deduction through Search over Statement Compositions

Kaj Bostrom, Zayne Sprague, Swarat Chaudhuri +1

In settings from fact-checking to question answering, we frequently want to know whether a collection of evidence (premises) entails a hypothesis. Existing methods primarily focus…