activity
20162023
most citedReinforcement Learning of CPG-regulated Locomotion Controller for a Soft Snake Robot

44 citations · 280 across the 48 of their papers we have counts for

collaborators
Showing 2021Show all

8 papers · 1 filter

cs.CL2021

MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare

Shaoxiong Ji, Tianlin Zhang, Luna Ansari +3

Mental health is a critical issue in modern society, and mental disorders could sometimes turn to suicidal ideation without adequate treatment. Early detection of mental disorders…

cs.LG2021★ 1 cited

Unifying Likelihood-free Inference with Black-box Optimization and Beyond

Dinghuai Zhang, Jie Fu, Yoshua Bengio +1

Black-box optimization formulations for biological sequence design have drawn recent attention due to their promising potential impact on the pharmaceutical industry. In this work,…

cs.LG2021★ 1 cited

Learning Multi-Objective Curricula for Robotic Policy Learning

Jikun Kang, Miao Liu, Abhinav Gupta +3

Various automatic curriculum learning (ACL) methods have been proposed to improve the sample efficiency and final performance of deep reinforcement learning (DRL). They are designe…

cs.AI2021

Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning

Fan Wang, Hao Tian, Haoyi Xiong +5

Artificial neural networks (ANNs) are typically confined to accomplishing pre-defined tasks by learning a set of static parameters. In contrast, biological neural networks (BNNs) c…

cs.CV2021★ 1 cited

Pruning Ternary Quantization

Dan Liu, Xi Chen, Jie Fu +2

Inference time, model size, and accuracy are three key factors in deep model compression. Most of the existing work addresses these three key factors separately as it is difficult…

cs.FL2021★ 3 cited

Policy Synthesis for Metric Interval Temporal Logic with Probabilistic Distributions

Lening Li, Jie Fu

Metric Temporal Logic can express temporally evolving properties with time-critical constraints or time-triggered constraints for real-time systems. This paper extends the Metric I…

cs.CR2021

Qualitative Planning in Imperfect Information Games with Active Sensing and Reactive Sensor Attacks: Cost of Unawareness

Abhishek N. Kulkarni, Shuo Han, Nandi O. Leslie +2

We consider the probabilistic planning problem where the agent (called Player 1, or P1) can jointly plan the control actions and sensor queries in a sensor network and an attacker…

cs.AI2021

Probabilistic Planning with Preferences over Temporal Goals

Jie Fu

We present a formal language for specifying qualitative preferences over temporal goals and a preference-based planning method in stochastic systems. Using automata-theoretic model…