research
∙
04/01/2023
Recover Triggered States: Protect Model Against Backdoor Attack in Reinforcement Learning
A backdoor attack allows a malicious user to manipulate the environment ...
share
research
∙
01/06/2023
Centralized Cooperative Exploration Policy for Continuous Control Tasks
The deep reinforcement learning (DRL) algorithm works brilliantly on sol...
research
∙
11/22/2022
Unsupervised Domain Adaptation GAN Inversion for Image Editing
Existing GAN inversion methods work brilliantly for high-quality image r...
research
∙
05/29/2022
Representation Gap in Deep Reinforcement Learning
Deep reinforcement learning gives the promise that an agent learns good ...
research
∙
12/09/2021
Value Function Factorisation with Hypergraph Convolution for Cooperative Multi-agent Reinforcement Learning
Cooperation between agents in a multi-agent system (MAS) has become a ho...
research
∙
09/24/2021
Combing Policy Evaluation and Policy Improvement in a Unified f-Divergence Framework
The framework of deep reinforcement learning (DRL) provides a powerful a...
research
∙
09/22/2021
LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders
Variational autoencoders (VAEs), as an important aspect of generative mo...
research
∙
09/22/2021
MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning
Ensemble reinforcement learning (RL) aims to mitigate instability in Q-l...
research
∙
12/26/2020
POPO: Pessimistic Offline Policy Optimization
Offline reinforcement learning (RL), also known as batch RL, aims to opt...
research
∙
06/18/2020
Reducing Estimation Bias via Weighted Delayed Deep Deterministic Policy Gradient
The overestimation phenomenon caused by function approximation is a well...
research
∙
04/17/2020
Highway Transformer: Self-Gating Enhanced Self-Attentive Networks
Self-attention mechanisms have made striking state-of-the-art (SOTA) pro...
research
∙
11/18/2019
