ACSAC: Adaptive Chunk Size Actor-Critic with Causal Transformer Q-Network
cs.LG, cs.RO
Submitted: 2026-05-10
Updated: 2026-09-27
Code: https://github.com/ColinQiyangLi/qc
Terminology
Sources
- TQL: Scaling Q-Functions with Transformers by Preventing Attention Collapse
- IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies
- AlignIQL: Policy Alignment in Implicit Q-Learning through Constrained Optimization
- CO-RFT: Efficient Fine-Tuning of Vision-Language-Action Models through Chunked Offline Reinforcement Learning
- Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
- SEAR: Sample Efficient Action Chunking Reinforcement Learning
- AWAC: Accelerating Online Reinforcement Learning with Offline Datasets
- Chunk-Guided Q-Learning
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