Research map / Reinforcement learning / Policy gradient and actor-critic
Reinforcement Learning with Convex Constraints
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use APPROPO with the safety constraint and reward lower bound | APPROPO · Mars rover grid world | probability of failure | Helped |
| Use APPROPO with the safety constraint and reward lower bound | APPROPO · Mars rover grid world | reward | No clear effect |
| Add a diversity constraint on visitation probabilities (ablation) | APPROPO · Mars rover grid world | distance to uniform visitation distribution | Helped |
| Enforce a diversity constraint on visitation probabilities | RCPO · Mars rover grid world | distance to uniform visitation distribution | Mixed |
Closest papers by meaning
- Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies (ICML 2021 · similarity 0.91)
- Constrained Reinforcement Learning Under Model Mismatch (ICML 2024 · similarity 0.91)
- Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively (AAAI 2024 · similarity 0.90)
- Simplifying Constraint Inference with Inverse Reinforcement Learning (NeurIPS 2024 · similarity 0.89)
- Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning (AAAI 2024 · similarity 0.89)
- Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning (NeurIPS 2024 · similarity 0.88)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
