Research map / Reinforcement learning / Visual and representation RL
Contrastive Learning as Goal-Conditioned Reinforcement Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use contrastive RL with goal relabeling instead of prior offline baselines | Offline goal-conditioned RL · D4RL AntMaze large-play-v2 and large-diverse-v2 | normalized score: 41.6 {( ±6.0)} vs 39.6; 49.3 {( ±6.3)} vs 47.5 | Helped |
| Increase the number of critics from 2 to 5 (ablation) | Offline Contrastive RL + BC · D4RL AntMaze tasks | normalized score: 81.9 {( ±1.7)} -> 79.8 {( ±1.4)}; 75.4 {( ±3.5)} -> 77.6 {( ±2.8)}; 71.5 {( ±5.2)} -> 72.6 {( ±2.9)}; 72.5 {( ±2.8)} -> | Mixed |
| Add filtering of relabeled trajectories based on commanded-versus-reached-goal likelihood (ablation) | Contrastive RL (NCE) · Goal-conditioned RL tasks | success rate | Hurt |
| Sample future states rather than random states as actor-loss goals (ablation) | Contrastive RL (NCE) · Goal-conditioned RL tasks | success rate | Hurt |
| Use a mixture of future goals and random goals for the actor loss (ablation) | Contrastive RL (NCE) · Goal-conditioned RL tasks | success rate | Mixed |
| Replace the NCE objective with the CPC objective (ablation) | Contrastive RL · Goal-conditioned tasks | success rate | Mixed |
| Replace NCE with C-learning (ablation) | Contrastive RL · Goal-conditioned tasks | success rate | Mixed |
| Combine the NCE objective with C-learning (ablation) | Contrastive RL · Goal-conditioned tasks | success rate | Helped |
| Add image data augmentation and auxiliary representation losses to TD3+HER (ablation) | TD3+HER · fetch reach and sawyer push image-based tasks | success rate | Helped |
| Use Contrastive RL (NCE) instead of TD3+HER with representation-learning additions | Image-based goal-conditioned RL · Image-based tasks | success rate | Helped |
| Normalize the final representation, add a final activation, or use a learnable temperature (ablation) | Contrastive RL (NCE) · Goal-conditioned tasks | success rate | Hurt |
| Use contrastive RL instead of a forward model as goal dimension increases | sawyer push · Goal dimensions 4 through 7 | Euclidean distance to goal | Helped |
Closest papers by meaning
- Offline Goal-conditioned Reinforcement Learning with Quasimetric Representations (NeurIPS 2025 · similarity 0.90)
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- Representation-Based Robustness in Goal-Conditioned Reinforcement Learning (AAAI 2024 · similarity 0.89)
- ContraDiff: Planning Towards High Return States via Contrastive Learning (ICLR 2025 · similarity 0.87)
- Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data (ICLR 2024 · similarity 0.87)
- Towards Principled Representation Learning from Videos for Reinforcement Learning (ICLR 2024 · similarity 0.87)
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