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09/19/2023
Guide Your Agent with Adaptive Multimodal Rewards
Developing an agent capable of adapting to unseen environments remains a...
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08/23/2023
Language Reward Modulation for Pretraining Reinforcement Learning
Using learned reward functions (LRFs) as a means to solve sparse-reward ...
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05/31/2023
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration
A promising technique for exploration is to maximize the entropy of visi...
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03/20/2023
Imitating Graph-Based Planning with Goal-Conditioned Policies
Recently, graph-based planning algorithms have gained much attention to ...
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02/05/2023
Multi-View Masked World Models for Visual Robotic Manipulation
Visual robotic manipulation research and applications often use multiple...
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09/15/2022
HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator
Video prediction is an important yet challenging problem; burdened with ...
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06/28/2022
Masked World Models for Visual Control
Visual model-based reinforcement learning (RL) has the potential to enab...
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03/25/2022
Reinforcement Learning with Action-Free Pre-Training from Videos
Recent unsupervised pre-training methods have shown to be effective on l...
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03/18/2022
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning
Preference-based reinforcement learning (RL) has shown potential for tea...
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10/27/2021
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning
Behavioral cloning has proven to be effective for learning sequential de...
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10/26/2021
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning
Goal-conditioned hierarchical reinforcement learning (HRL) has shown pro...
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07/01/2021
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble
Recent advance in deep offline reinforcement learning (RL) has made it p...
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02/18/2021
State Entropy Maximization with Random Encoders for Efficient Exploration
Recent exploration methods have proven to be a recipe for improving samp...
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10/26/2020
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning
Model-based reinforcement learning (RL) has shown great potential in var...
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06/17/2020
Learning What to Defer for Maximum Independent Sets
Designing efficient algorithms for combinatorial optimization appears ub...
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05/14/2020