research
∙
06/27/2023
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning
In recent years, data-driven reinforcement learning (RL), also known as ...
share
research
∙
03/23/2023
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition
To facilitate research in the direction of fine-tuning foundation models...
research
∙
02/14/2023
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning
Real-world cooperation often requires intensive coordination among agent...
research
∙
02/07/2023
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning
Recent advances in multi-agent reinforcement learning (MARL) allow agent...
research
∙
01/27/2023
Neural Episodic Control with State Abstraction
Existing Deep Reinforcement Learning (DRL) algorithms suffer from sample...
research
∙
10/02/2022
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model
Unsupervised reinforcement learning (URL) poses a promising paradigm to ...
research
∙
09/14/2022
Distributed Multi-Robot Obstacle Avoidance via Logarithmic Map-based Deep Reinforcement Learning
Developing a safe, stable, and efficient obstacle avoidance policy in cr...
research
∙
05/27/2022
Off-Beat Multi-Agent Reinforcement Learning
We investigate model-free multi-agent reinforcement learning (MARL) in e...
research
∙
12/06/2020
Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning
The development of deep reinforcement learning (DRL) has benefited from ...
research
∙
03/10/2020
Exploring Unknown States with Action Balance
Exploration is a key problem in reinforcement learning. Recently bonus-b...
research
∙
02/19/2020
Efficient Deep Reinforcement Learning through Policy Transfer
Transfer Learning (TL) has shown great potential to accelerate Reinforce...
research
∙
02/19/2020
Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework
Transfer Learning has shown great potential to enhance the single-agent ...
research
∙
02/10/2020
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning
Recently, deep multiagent reinforcement learning (MARL) has become a hig...
research
∙
09/06/2019
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning
A lot of efforts have been devoted to investigating how agents can learn...
research
∙
07/26/2019
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems
In multiagent systems (MASs), each agent makes individual decisions but ...
research
∙
03/02/2018
