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07/16/2021
Robust Risk-Sensitive Reinforcement Learning Agents for Trading Markets
Trading markets represent a real-world financial application to deploy r...
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11/15/2020
CDT: Cascading Decision Trees for Explainable Reinforcement Learning
Deep Reinforcement Learning (DRL) has recently achieved significant adva...
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04/01/2020
Work in Progress: Temporally Extended Auxiliary Tasks
Predictive auxiliary tasks have been shown to improve performance in num...
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07/26/2019
On Hard Exploration for Reinforcement Learning: a Case Study in Pommerman
How to best explore in domains with sparse, delayed, and deceptive rewar...
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07/25/2019
Action Guidance with MCTS for Deep Reinforcement Learning
Deep reinforcement learning has achieved great successes in recent years...
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07/24/2019
Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning
Deep reinforcement learning has achieved great successes in recent years...
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07/22/2019
Agent Modeling as Auxiliary Task for Deep Reinforcement Learning
In this paper we explore how actor-critic methods in deep reinforcement ...
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04/20/2019
Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition
The Pommerman Team Environment is a recently proposed benchmark which in...
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04/10/2019
Safer Deep RL with Shallow MCTS: A Case Study in Pommerman
Safe reinforcement learning has many variants and it is still an open re...
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12/12/2018
An Exchange Mechanism to Coordinate Flexibility in Residential Energy Cooperatives
Energy cooperatives (ECs) such as residential and industrial microgrids ...
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11/30/2018
Using Monte Carlo Tree Search as a Demonstrator within Asynchronous Deep RL
Deep reinforcement learning (DRL) has achieved great successes in recent...
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10/12/2018
Is multiagent deep reinforcement learning the answer or the question? A brief survey
Deep reinforcement learning (DRL) has achieved outstanding results in re...
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07/28/2017