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07/02/2023
Is Risk-Sensitive Reinforcement Learning Properly Resolved?
Due to the nature of risk management in learning applicable policies, ri...
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05/27/2023
MADiff: Offline Multi-agent Learning with Diffusion Models
Diffusion model (DM), as a powerful generative model, recently achieved ...
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02/02/2023
Visual Imitation Learning with Patch Rewards
Visual imitation learning enables reinforcement learning agents to learn...
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12/18/2022
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents
In reinforcement learning applications like robotics, agents usually nee...
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11/07/2022
RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow
High-quality traffic flow generation is the core module in building simu...
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10/12/2022
Reinforcement Learning with Automated Auxiliary Loss Search
A good state representation is crucial to solving complicated reinforcem...
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03/30/2022
PerfectDou: Dominating DouDizhu with Perfect Information Distillation
As a challenging multi-player card game, DouDizhu has recently drawn muc...
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03/04/2022
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization
Recent progress in state-only imitation learning extends the scope of ap...
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01/20/2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Goal-conditioned reinforcement learning (GCRL), related to a set of comp...
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11/03/2021
Curriculum Offline Imitation Learning
Offline reinforcement learning (RL) tasks require the agent to learn fro...
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05/13/2021
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks
In Goal-oriented Reinforcement learning, relabeling the raw goals in pas...
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04/20/2020
Energy-Based Imitation Learning
We tackle a common scenario in imitation learning (IL), where agents try...
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01/04/2020
