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Hangtian Jia

2 accepted papers

2021

Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games

NeurIPS 2021poster

Measuring and promoting policy diversity is critical for solving games with strong non-transitive dynamics where strategic cycles exist, and there is no consistent winner (e.g., Rock-Paper-Scissors). With that in mind, maintaining a pool of diverse policies via open-ended learning is an attractive s…

2020

Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping

NeurIPS 2020poster

Reward shaping is an effective technique for incorporating domain knowledge into reinforcement learning (RL). Existing approaches such as potential-based reward shaping normally make full use of a given shaping reward function. However, since the transformation of human knowledge into numeric reward…

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