121 citations · 591 across the 29 of their papers we have counts for
3 papers · 1 filter
BeBold: Exploration Beyond the Boundary of Explored Regions
Tianjun Zhang, Huazhe Xu, Xiaolong Wang +4
Efficient exploration under sparse rewards remains a key challenge in deep reinforcement learning. To guide exploration, previous work makes extensive use of intrinsic reward (IR).…
Multi-Agent Collaboration via Reward Attribution Decomposition
Tianjun Zhang, Huazhe Xu, Xiaolong Wang +4
Recent advances in multi-agent reinforcement learning (MARL) have achieved super-human performance in games like Quake 3 and Dota 2. Unfortunately, these techniques require orders-…
Contrastive Code Representation Learning
Paras Jain, Ajay Jain, Tianjun Zhang +3
Recent work learns contextual representations of source code by reconstructing tokens from their context. For downstream semantic understanding tasks like summarizing code in Engli…