Summary of Contrastive Diffuser: Planning Towards High Return States Via Contrastive Learning, by Yixiang Shan et al.
Contrastive Diffuser: Planning Towards High Return States via Contrastive Learningby Yixiang Shan, Zhengbang Zhu, Ting…
Summary of Vision-language Models Provide Promptable Representations For Reinforcement Learning, by William Chen and Oier Mees and Aviral Kumar and Sergey Levine
Vision-Language Models Provide Promptable Representations for Reinforcement Learningby William Chen, Oier Mees, Aviral Kumar, Sergey…
Summary of Utility-based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning, by Peter Vamplew et al.
Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learningby Peter Vamplew, Cameron Foale, Conor F.…
Summary of Accelerating Inverse Reinforcement Learning with Expert Bootstrapping, by David Wu and Sanjiban Choudhury
Accelerating Inverse Reinforcement Learning with Expert Bootstrappingby David Wu, Sanjiban ChoudhuryFirst submitted to arxiv on:…
Summary of The Virtues Of Pessimism in Inverse Reinforcement Learning, by David Wu and Gokul Swamy and J. Andrew Bagnell and Zhiwei Steven Wu and Sanjiban Choudhury
The Virtues of Pessimism in Inverse Reinforcement Learningby David Wu, Gokul Swamy, J. Andrew Bagnell,…
Summary of Uni-rlhf: Universal Platform and Benchmark Suite For Reinforcement Learning with Diverse Human Feedback, by Yifu Yuan et al.
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedbackby Yifu Yuan,…
Summary of Towards An Information Theoretic Framework Of Context-based Offline Meta-reinforcement Learning, by Lanqing Li et al.
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learningby Lanqing Li, Hai Zhang, Xinyu…
Summary of Diffstitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching, by Guanghe Li et al.
DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitchingby Guanghe Li, Yixiang Shan, Zhengbang Zhu,…
Summary of Invit: a Generalizable Routing Problem Solver with Invariant Nested View Transformer, by Han Fang et al.
INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformerby Han Fang, Zhihao Song,…
Summary of Symbol: Generating Flexible Black-box Optimizers Through Symbolic Equation Learning, by Jiacheng Chen et al.
Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learningby Jiacheng Chen, Zeyuan Ma, Hongshu Guo,…