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08/18/2023
Robust Quadrupedal Locomotion via Risk-Averse Policy Learning
The robustness of legged locomotion is crucial for quadrupedal robots in...
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05/29/2023
Privileged Knowledge Distillation for Sim-to-Real Policy Generalization
Reinforcement Learning (RL) has recently achieved remarkable success in ...
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05/29/2023
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning
Diffusion models have demonstrated highly-expressive generative capabili...
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05/28/2023
Cross-Domain Policy Adaptation via Value-Guided Data Filtering
Generalizing policies across different domains with dynamics mismatch po...
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05/28/2023
On the Value of Myopic Behavior in Policy Reuse
Leveraging learned strategies in unfamiliar scenarios is fundamental to ...
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05/08/2023
Behavior Contrastive Learning for Unsupervised Skill Discovery
In reinforcement learning, unsupervised skill discovery aims to learn di...
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07/29/2022
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning
In view of its power in extracting feature representation, contrastive s...
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02/23/2022
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
Offline Reinforcement Learning (RL) aims to learn policies from previous...
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10/24/2021
SCORE: Spurious COrrelation REduction for Offline Reinforcement Learning
Offline reinforcement learning (RL) aims to learn the optimal policy fro...
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10/20/2021
Dynamic Bottleneck for Robust Self-Supervised Exploration
Exploration methods based on pseudo-count of transitions or curiosity of...
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09/14/2021
Exploration in Deep Reinforcement Learning: A Comprehensive Survey
Deep Reinforcement Learning (DRL) and Deep Multi-agent Reinforcement Lea...
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05/13/2021
Principled Exploration via Optimistic Bootstrapping and Backward Induction
One principled approach for provably efficient exploration is incorporat...
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10/17/2020