Showing 1–13 of 13 results
/ Date/ Name
Jul 16, 2021Robust Risk-Sensitive Reinforcement Learning Agents for Trading MarketsNov 15, 2020CDT: Cascading Decision Trees for Explainable Reinforcement LearningApr 1, 2020Work in Progress: Temporally Extended Auxiliary TasksJul 26, 2019On Hard Exploration for Reinforcement Learning: a Case Study in PommermanJul 25, 2019Action Guidance with MCTS for Deep Reinforcement LearningJul 24, 2019Terminal Prediction as an Auxiliary Task for Deep Reinforcement LearningJul 22, 2019Agent Modeling as Auxiliary Task for Deep Reinforcement LearningApr 20, 2019Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team CompetitionApr 10, 2019Safer Deep RL with Shallow MCTS: A Case Study in PommermanDec 12, 2018An Exchange Mechanism to Coordinate Flexibility in Residential Energy CooperativesNov 30, 2018Using Monte Carlo Tree Search as a Demonstrator within Asynchronous Deep RLOct 12, 2018A Survey and Critique of Multiagent Deep Reinforcement LearningJul 28, 2017A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity