Bridging State and History Representations: Understanding Self-Predictive RL
Fuente:
arXiv
Saved in:
| Main Authors: | Ni, Tianwei, Eysenbach, Benjamin, Seyedsalehi, Erfan, Ma, Michel, Gehring, Clement, Mahajan, Aditya, Bacon, Pierre-Luc |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Do Transformer World Models Give Better Policy Gradients?
by: Ma, Michel, et al.
Published: (2024)
by: Ma, Michel, et al.
Published: (2024)
Understanding Behavioral Metric Learning: A Large-Scale Study on Distracting Reinforcement Learning Environments
by: Luo, Ziyan, et al.
Published: (2025)
by: Luo, Ziyan, et al.
Published: (2025)
The Three Regimes of Offline-to-Online Reinforcement Learning
by: Li, Lu, et al.
Published: (2025)
by: Li, Lu, et al.
Published: (2025)
HIQL: Offline Goal-Conditioned RL with Latent States as Actions
by: Park, Seohong, et al.
Published: (2023)
by: Park, Seohong, et al.
Published: (2023)
Rotation-Preserving Supervised Fine-Tuning
by: Jin, Hangzhan, et al.
Published: (2026)
by: Jin, Hangzhan, et al.
Published: (2026)
OGBench: Benchmarking Offline Goal-Conditioned RL
by: Park, Seohong, et al.
Published: (2024)
by: Park, Seohong, et al.
Published: (2024)
Is Temporal Difference Learning the Gold Standard for Stitching in RL?
by: Bortkiewicz, Michał, et al.
Published: (2025)
by: Bortkiewicz, Michał, et al.
Published: (2025)
A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals
by: Liu, Grace, et al.
Published: (2024)
by: Liu, Grace, et al.
Published: (2024)
1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities
by: Wang, Kevin, et al.
Published: (2025)
by: Wang, Kevin, et al.
Published: (2025)
Contrastive Difference Predictive Coding
by: Zheng, Chongyi, et al.
Published: (2023)
by: Zheng, Chongyi, et al.
Published: (2023)
Unifying Goal-Conditioned RL and Unsupervised Skill Learning via Control-Maximization
by: Modirshanechi, Alireza, et al.
Published: (2026)
by: Modirshanechi, Alireza, et al.
Published: (2026)
Horizon Reduction Makes RL Scalable
by: Park, Seohong, et al.
Published: (2025)
by: Park, Seohong, et al.
Published: (2025)
Can We Really Learn One Representation to Optimize All Rewards?
by: Zheng, Chongyi, et al.
Published: (2026)
by: Zheng, Chongyi, et al.
Published: (2026)
Temporal Representations for Exploration: Learning Complex Exploratory Behavior without Extrinsic Rewards
by: Mohamed, Faisal, et al.
Published: (2026)
by: Mohamed, Faisal, et al.
Published: (2026)
Accelerating Goal-Conditioned RL Algorithms and Research
by: Bortkiewicz, Michał, et al.
Published: (2024)
by: Bortkiewicz, Michał, et al.
Published: (2024)
Contrastive Representations for Temporal Reasoning
by: Ziarko, Alicja, et al.
Published: (2025)
by: Ziarko, Alicja, et al.
Published: (2025)
Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration
by: Nimonkar, Chirayu, et al.
Published: (2025)
by: Nimonkar, Chirayu, et al.
Published: (2025)
Extrapolative Weight Averaging Reveals Correctness-Efficiency Frontiers in Code RL
by: Zheng, Kunhao, et al.
Published: (2026)
by: Zheng, Kunhao, et al.
Published: (2026)
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data
by: Zheng, Chongyi, et al.
Published: (2023)
by: Zheng, Chongyi, et al.
Published: (2023)
Horizon Generalization in Reinforcement Learning
by: Myers, Vivek, et al.
Published: (2025)
by: Myers, Vivek, et al.
Published: (2025)
Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning
by: Reizinger, Patrik, et al.
Published: (2025)
by: Reizinger, Patrik, et al.
Published: (2025)
RL Fine-Tuning Heals OOD Forgetting in SFT
by: Jin, Hangzhan, et al.
Published: (2025)
by: Jin, Hangzhan, et al.
Published: (2025)
Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning
by: Ma, Guozheng, et al.
Published: (2025)
by: Ma, Guozheng, et al.
Published: (2025)
A Rate-Distortion View of Uncertainty Quantification
by: Apostolopoulou, Ifigeneia, et al.
Published: (2024)
by: Apostolopoulou, Ifigeneia, et al.
Published: (2024)
Intention-Conditioned Flow Occupancy Models
by: Zheng, Chongyi, et al.
Published: (2025)
by: Zheng, Chongyi, et al.
Published: (2025)
Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning
by: Zheng, Chongyi, et al.
Published: (2024)
by: Zheng, Chongyi, et al.
Published: (2024)
Reward Redistribution for CVaR MDPs using a Bellman Operator on L-infinity
by: Muni, Aneri, et al.
Published: (2026)
by: Muni, Aneri, et al.
Published: (2026)
Masked Latent Prediction and Classification for Self-Supervised Audio Representation Learning
by: Quelennec, Aurian, et al.
Published: (2025)
by: Quelennec, Aurian, et al.
Published: (2025)
MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning
by: Quelennec, Aurian, et al.
Published: (2025)
by: Quelennec, Aurian, et al.
Published: (2025)
Ego-Foresight: Self-supervised Learning of Agent-Aware Representations for Improved RL
by: Nunes, Manuel Serra, et al.
Published: (2024)
by: Nunes, Manuel Serra, et al.
Published: (2024)
Toward Training Superintelligent Software Agents through Self-Play SWE-RL
by: Wei, Yuxiang, et al.
Published: (2025)
by: Wei, Yuxiang, et al.
Published: (2025)
Layerwise LQR for Geometry-Aware Optimization of Deep Networks
by: Dufort-Labbé, Simon, et al.
Published: (2026)
by: Dufort-Labbé, Simon, et al.
Published: (2026)
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making
by: Myers, Vivek, et al.
Published: (2024)
by: Myers, Vivek, et al.
Published: (2024)
Value Flows
by: Dong, Perry, et al.
Published: (2025)
by: Dong, Perry, et al.
Published: (2025)
UpSkill: Mutual Information Skill Learning for Structured Response Diversity in LLMs
by: Shah, Devan, et al.
Published: (2026)
by: Shah, Devan, et al.
Published: (2026)
Comprehensive Modeling Approaches for Forecasting Bitcoin Transaction Fees: A Comparative Study
by: Ma, Jiangqin, et al.
Published: (2025)
by: Ma, Jiangqin, et al.
Published: (2025)
VidBridge-R1: Bridging QA and Captioning for RL-based Video Understanding Models with Intermediate Proxy Tasks
by: Chen, Xinlong, et al.
Published: (2025)
by: Chen, Xinlong, et al.
Published: (2025)
FLAC: Maximum Entropy RL via Kinetic Energy Regularized Bridge Matching
by: Lv, Lei, et al.
Published: (2026)
by: Lv, Lei, et al.
Published: (2026)
SAC-GLAM: Improving Online RL for LLM agents with Soft Actor-Critic and Hindsight Relabeling
by: Gaven, Loris, et al.
Published: (2024)
by: Gaven, Loris, et al.
Published: (2024)
First-Order Representation Languages for Goal-Conditioned RL
by: Ståhlberg, Simon, et al.
Published: (2025)
by: Ståhlberg, Simon, et al.
Published: (2025)
Similar Items
-
Do Transformer World Models Give Better Policy Gradients?
by: Ma, Michel, et al.
Published: (2024) -
Understanding Behavioral Metric Learning: A Large-Scale Study on Distracting Reinforcement Learning Environments
by: Luo, Ziyan, et al.
Published: (2025) -
The Three Regimes of Offline-to-Online Reinforcement Learning
by: Li, Lu, et al.
Published: (2025) -
HIQL: Offline Goal-Conditioned RL with Latent States as Actions
by: Park, Seohong, et al.
Published: (2023) -
Rotation-Preserving Supervised Fine-Tuning
by: Jin, Hangzhan, et al.
Published: (2026)