2 papers
cs.LG2025
InTAct: Interval-based Task Activation Consolidation for Continual Learning
Patryk Krukowski, Jan Miksa, Piotr Helm +3
Continual learning is a fundamental challenge in artificial intelligence that requires networks to acquire new knowledge while preserving previously learned representations. Despit…
cs.LG2025
Communication-Enhanced Tutoring for Efficient Decentralized Multi-Agent Reinforcement Learning
Maciej Wojtala, Bogusz Stefańczyk, Dominik Bogucki +2
Centralized Training with Decentralized Execution (CTDE) is the dominant paradigm in multi-agent reinforcement learning (MARL), enabling agents to act independently at test time wh…