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08/25/2023
JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading
Financial exchanges across the world use limit order books (LOBs) to pro...
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06/02/2023
ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages
In this paper, we introduce a novel method for enhancing the effectivene...
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03/16/2023
Arbitrary Order Meta-Learning with Simple Population-Based Evolution
Meta-learning, the notion of learning to learn, enables learning systems...
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03/07/2023
Structured State Space Models for In-Context Reinforcement Learning
Structured state space sequence (S4) models have recently achieved state...
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11/20/2022
Adversarial Cheap Talk
Adversarial attacks in reinforcement learning (RL) often assume highly-p...
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10/18/2022
Proximal Learning With Opponent-Learning Awareness
Learning With Opponent-Learning Awareness (LOLA) (Foerster et al. [2018a...
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10/11/2022
Discovered Policy Optimisation
Tremendous progress has been made in reinforcement learning (RL) over th...
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05/03/2022
Model-Free Opponent Shaping
In general-sum games, the interaction of self-interested learning agents...
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07/14/2021
Centralized Model and Exploration Policy for Multi-Agent RL
Reinforcement learning (RL) in partially observable, fully cooperative m...
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02/14/2019
