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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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05/19/2023
Learning Diverse Risk Preferences in Population-based Self-play
Among the great successes of Reinforcement Learning (RL), self-play algo...
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04/10/2023
Uncertainty-driven Trajectory Truncation for Model-based Offline Reinforcement Learning
Equipped with the trained environmental dynamics, model-based offline re...
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01/27/2023
Single-Trajectory Distributionally Robust Reinforcement Learning
As a framework for sequential decision-making, Reinforcement Learning (R...
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09/14/2022
Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation
Among the reasons hindering reinforcement learning (RL) applications to ...
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06/15/2022
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning
Keeping risk under control is often more crucial than maximizing expecte...
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06/09/2022
Mildly Conservative Q-Learning for Offline Reinforcement Learning
Offline reinforcement learning (RL) defines the task of learning from a ...
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01/15/2022
A unified algorithm framework for mean-variance optimization in discounted Markov decision processes
This paper studies the risk-averse mean-variance optimization in infinit...
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10/19/2021
Offline Reinforcement Learning with Value-based Episodic Memory
Offline reinforcement learning (RL) shows promise of applying RL to real...
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10/07/2021
MGPSN: Motion-Guided Pseudo Siamese Network for Indoor Video Head Detection
Head detection in real-world videos is an important research topic in co...
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06/07/2021
Average-Reward Reinforcement Learning with Trust Region Methods
Most of reinforcement learning algorithms optimize the discounted criter...
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06/07/2021
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning
Learning from datasets without interaction with environments (Offline Le...
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06/06/2021
Efficient Continuous Control with Double Actors and Regularized Critics
How to obtain good value estimation is one of the key problems in Reinfo...
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02/10/2021
Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning
Value-based methods of multi-agent reinforcement learning (MARL), especi...
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06/25/2020
SOAC: The Soft Option Actor-Critic Architecture
The option framework has shown great promise by automatically extracting...
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06/05/2020
Wasserstein Distance guided Adversarial Imitation Learning with Reward Shape Exploration
The generative adversarial imitation learning (GAIL) has provided an adv...
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04/30/2020
