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Experience-Based Reinforcement Learning to Acquire Effective Behavior in a Multi-agent Domain.

, , and . PRICAI, volume 1886 of Lecture Notes in Computer Science, page 125-135. Springer, (2000)

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Faster Convergence to Cooperative Policy by Autonomous Detection of Interference States in Multiagent Reinforcement Learning., and . PRICAI, volume 9810 of Lecture Notes in Computer Science, page 16-29. Springer, (2016)Parameter Estimation of Multi-objective Reinforcement Learning to Reach Arbitrary Pareto Solution., and . ICA, page 110-111. IEEE, (2016)Charge Control of Regenerative Power for Energy Saving in Railway Systems., and . ICA, page 69-74. IEEE, (2018)Comfortable Driving by using Deep Inverse Reinforcement Learning., and . ICA, page 38-43. IEEE, (2019)Experience-Based Reinforcement Learning to Acquire Effective Behavior in a Multi-agent Domain., , and . PRICAI, volume 1886 of Lecture Notes in Computer Science, page 125-135. Springer, (2000)Dynamic pricing method to maximize utilization of one-way car sharing service., , and . ICA, page 65-68. IEEE, (2019)Multi-Objective Deep Inverse Reinforcement Learning through Direct Weights and Rewards Estimation., and . SICE, page 122-127. IEEE, (2022)Learning Cooperative Policy among Self-Driving Vehicles to Relieve Traffic Jams., and . ATT@IJCAI, volume 2129 of CEUR Workshop Proceedings, page 63-69. CEUR-WS.org, (2018)Multi-agent Reinforcement Learning for Crane Control Problem: Designing Rewards for Conflict Resolution., , and . ISADS, page 310-319. IEEE Computer Society, (1999)Evaluating advantage of sharing information among vehicles toward avoiding phantom traffic jam., and . WSC, page 300-311. IEEE/ACM, (2015)