29 citations · 60 across the 5 of their papers we have counts for
5 papers
CausalCOMRL: Context-Based Offline Meta-Reinforcement Learning with Causal Representation
Zhengzhe Zhang, Wenjia Meng, Haoliang Sun +1
Context-based offline meta-reinforcement learning (OMRL) methods have achieved appealing success by leveraging pre-collected offline datasets to develop task representations that g…
Off-OAB: Off-Policy Policy Gradient Method with Optimal Action-Dependent Baseline
Wenjia Meng, Qian Zheng, Long Yang +2
Policy-based methods have achieved remarkable success in solving challenging reinforcement learning problems. Among these methods, off-policy policy gradient methods are particular…
Qualitative Measurements of Policy Discrepancy for Return-Based Deep Q-Network
Wenjia Meng, Qian Zheng, Long Yang +2
The deep Q-network (DQN) and return-based reinforcement learning are two promising algorithms proposed in recent years. DQN brings advances to complex sequential decision problems,…
A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning
Long Yang, Minhao Shi, Qian Zheng +2
Recently, a new multi-step temporal learning algorithm, called , unifies -step Tree-Backup (when ) and -step Sarsa (when ) by introducing a sampling parameter…
Two-Bit Networks for Deep Learning on Resource-Constrained Embedded Devices
Wenjia Meng, Zonghua Gu, Ming Zhang +1
With the rapid proliferation of Internet of Things and intelligent edge devices, there is an increasing need for implementing machine learning algorithms, including deep learning,…