10 citations · 28 across the 6 of their papers we have counts for
4 papers · 1 filter
ChessGPT: Bridging Policy Learning and Language Modeling
Xidong Feng, Yicheng Luo, Ziyan Wang +6
When solving decision-making tasks, humans typically depend on information from two key sources: (1) Historical policy data, which provides interaction replay from the environment,…
Finetuning from Offline Reinforcement Learning: Challenges, Trade-offs and Practical Solutions
Yicheng Luo, Jackie Kay, Edward Grefenstette +1
Offline reinforcement learning (RL) allows for the training of competent agents from offline datasets without any interaction with the environment. Online finetuning of such offlin…
Optimal Transport for Offline Imitation Learning
Yicheng Luo, Zhengyao Jiang, Samuel Cohen +2
With the advent of large datasets, offline reinforcement learning (RL) is a promising framework for learning good decision-making policies without the need to interact with the rea…
Symbolic Parallel Adaptive Importance Sampling for Probabilistic Program Analysis
Yicheng Luo, Antonio Filieri, Yuan Zhou
Probabilistic software analysis aims at quantifying the probability of a target event occurring during the execution of a program processing uncertain incoming data or written itse…