Summary of Offline Inverse Rl: New Solution Concepts and Provably Efficient Algorithms, by Filippo Lazzati et al.
Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithmsby Filippo Lazzati, Mirco Mutti, Alberto…
Summary of Distributionally Robust Off-dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation, by Zhishuai Liu et al.
Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximationby Zhishuai Liu, Pan XuFirst…
Summary of When in Doubt, Think Slow: Iterative Reasoning with Latent Imagination, by Martin Benfeghoul et al.
When in Doubt, Think Slow: Iterative Reasoning with Latent Imaginationby Martin Benfeghoul, Umais Zahid, Qinghai…
Summary of Spatially-aware Transformer For Embodied Agents, by Junmo Cho et al.
Spatially-Aware Transformer for Embodied Agentsby Junmo Cho, Jaesik Yoon, Sungjin AhnFirst submitted to arxiv on:…
Summary of Applying Reinforcement Learning to Optimize Traffic Light Cycles, by Seungah Son and Juhee Jin
Applying Reinforcement Learning to Optimize Traffic Light Cyclesby Seungah Son, Juhee JinFirst submitted to arxiv…
Summary of Automated Design and Optimization Of Distributed Filtering Circuits Via Reinforcement Learning, by Peng Gao et al.
Automated Design and Optimization of Distributed Filtering Circuits via Reinforcement Learningby Peng Gao, Tao Yu,…
Summary of Mentor: Guiding Hierarchical Reinforcement Learning with Human Feedback and Dynamic Distance Constraint, by Xinglin Zhou et al.
MENTOR: Guiding Hierarchical Reinforcement Learning with Human Feedback and Dynamic Distance Constraintby Xinglin Zhou, Yifu…
Summary of Dealing with Unbounded Gradients in Stochastic Saddle-point Optimization, by Gergely Neu et al.
Dealing with unbounded gradients in stochastic saddle-point optimizationby Gergely Neu, Nneka OkoloFirst submitted to arxiv…
Summary of Enhancing Reinforcement Learning Agents with Local Guides, by Paul Daoudi et al.
Enhancing Reinforcement Learning Agents with Local Guidesby Paul Daoudi, Bogdan Robu, Christophe Prieur, Ludovic Dos…
Summary of Deep Generative Models For Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions, by Jiayu Chen et al.
Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directionsby Jiayu…