research
∙
07/03/2023
VOLTA: Diverse and Controllable Question-Answer Pair Generation with Variational Mutual Information Maximizing Autoencoder
Previous question-answer pair generation methods aimed to produce fluent...
share
research
∙
10/26/2022
ERL-Re^2: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation
Deep Reinforcement Learning (Deep RL) and Evolutionary Algorithm (EA) ar...
research
∙
10/17/2022
PTDE: Personalized Training with Distillated Execution for Multi-Agent Reinforcement Learning
Centralized Training with Decentralized Execution (CTDE) has been a very...
research
∙
03/24/2022
LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction
Precise congestion prediction from a placement solution plays a crucial ...
research
∙
09/14/2021
Exploration in Deep Reinforcement Learning: A Comprehensive Survey
Deep Reinforcement Learning (DRL) and Deep Multi-agent Reinforcement Lea...
research
∙
04/18/2020
CausalVAE: Structured Causal Disentanglement in Variational Autoencoder
Learning disentanglement aims at finding a low dimensional representatio...
research
∙
02/10/2020
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning
In many real-world settings, a team of cooperative agents must learn to ...
research
∙
09/25/2018
Hierarchical Deep Multiagent Reinforcement Learning
Despite deep reinforcement learning has recently achieved great successe...
research
∙
09/12/2018
