2 papers
cs.LG2026
Do Better Goal Representations Improve Goal-Conditioned Reinforcement Learning?
Syed Nazmus Sakib, Abdul Monaf Chowdhury, Nafiul Haque +2
Goal-conditioned reinforcement learning (GCRL) relies heavily on how target goals are represented to the policy. While recent methods encode goals via temporal distance, occupancy,…
cs.LG2026
GTRL: Grounding Divide-and-Conquer Value Learning with Temporal Differences
Abdul Monaf Chowdhury, MD Sameer Iqbal Chowdhury, Shifat E Arman +1
In offline goal-conditioned reinforcement learning (GCRL), divide-and-conquer scales to long horizons by joining two shorter segments at a subgoal. However, under stochastic dynami…