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Workshop
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METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
Seohong Park · Oleh Rybkin · Sergey Levine
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Workshop
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Agnostic Architecture for Heterogeneous Multi-Environment Reinforcement Learning
Kukjin Kim · Changhee Joo
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Workshop
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Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks
Murtaza Dalal · Tarun Chiruvolu · Devendra Singh Chaplot · Russ Salakhutdinov
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Workshop
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Sat 13:10
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Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies
Xiangyu Liu · Chenghao Deng · Yanchao Sun · Yongyuan Liang · Furong Huang
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Workshop
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T3GDT: Three-Tier Tokens to Guide Decision Transformer for Offline Meta Reinforcement Learning
Zhe Wang · Haozhu Wang · Yanjun Qi
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Workshop
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Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies
Xiangyu Liu · Chenghao Deng · Yanchao Sun · Yongyuan Liang · Furong Huang
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Workshop
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Work-in-Progress: Using Symbolic Planning with Deep RL to Improve Learning
Tianpei Yang · Srijita Das · Christabel Wayllace · Matthew Taylor
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Workshop
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Using Proto-Value Functions for Curriculum Generation in Goal-Conditioned RL
Henrik Metternich · Ahmed Hendway · Pascal Klink · Jan Peters · Carlo DEramo
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Workshop
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Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning
Jingyun Yang · Max Sobol Mark · Brandon Vu · Archit Sharma · Jeannette Bohg · Chelsea Finn
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Workshop
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METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
Seohong Park · Oleh Rybkin · Sergey Levine
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Workshop
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Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data
Chongyi Zheng · Benjamin Eysenbach · Homer Walke · Patrick Yin · Kuan Fang · Russ Salakhutdinov · Sergey Levine
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Workshop
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When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment
Tianwei Ni · Michel Ma · Benjamin Eysenbach · Pierre-Luc Bacon
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