GTRL: Grounding Divide-and-Conquer Value Learning with Temporal Differences
cs.LG
Submitted: 2026-09-27
Updated: 2026-09-27
Code: https://github.com/monaf-chowdhury/gtrl
Terminology
Sources
- Hindsight Experience Replay
- NFTR: From Provable Mode-Averaging to Geodesic Subgoal Selection in Offline Goal-Conditioned RL
- Unbiased Methods for Multi-Goal Reinforcement Learning
- Learning Successor States and Goal-Dependent Values: A Mathematical Viewpoint
- Floyd-Warshall Reinforcement Learning: Learning from Past Experiences to Reach New Goals
- Planning with Diffusion for Flexible Behavior Synthesis
- Offline Reinforcement Learning with Implicit Q-Learning
- Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
- Playing Atari with Deep Reinforcement Learning
- Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning
- OGBench: Benchmarking Offline Goal-Conditioned RL
- Transitive RL: Value Learning via Divide and Conquer
- Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research
- Rapid Exploration for Open-World Navigation with Latent Goal Models
- Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings
- Behavior Regularized Offline Reinforcement Learning
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