Research map / Reinforcement learning / Imitation learning
Compatible Reward Inverse Reinforcement Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use CR-IRL recovered reward (ECO-R trace heuristic) instead of true reward for training policy | REINFORCE on Taxi · Taxi | convergence speed of average return | Helped |
| Replace trace-heuristic second-order selection with ME-IRL reward on ECO-R features | Taxi · Taxi | convergence of average return | Hurt |
| Use CR-IRL recovered reward instead of GIRL reward parametrizations for policy learning | REINFORCE on LQG · LQG | convergence of learned policy parameter K | Helped |
| Use CR-IRL recovered reward for FQI instead of original reward | FQI on Car on the Hill · Car on the Hill | average return vs FQI iterations | Helped |
Closest papers by meaning
- Recent Advancements in Inverse Reinforcement Learning (AAAI 2024 · similarity 0.94)
- Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms (ICML 2024 · similarity 0.93)
- Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective (ICML 2024 · similarity 0.93)
- A Geometric Perspective on Reward Function Updates in Inverse Reinforcement Learning (NeurIPS 2026 · similarity 0.91)
- Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning (NeurIPS 2024 · similarity 0.91)
- Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning (NeurIPS 2024 · similarity 0.90)
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