| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2024 | J | jnl |
On the Limitations of Markovian Rewards to Express Multi-Objective, Risk-Sensitive, and Modal Tasks.
CoRR
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret.
CoRR
|
| 2024 | J | jnl |
CoRR
|
| 2023 | J | jnl |
CoRR
|
| 2023 | A* | conf |
AAAI
|
| 2023 | J | jnl |
CoRR
|
| 2023 | A | conf |
On the limitations of Markovian rewards to express multi-objective, risk-sensitive, and modal tasks.
UAI
|
| 2023 | J | jnl |
CoRR
|
| 2022 | A* | conf |
NeurIPS
|
| 2022 | J | jnl |
CoRR
|
| 2022 | J | jnl |
CoRR
|
| 2022 | A* | conf |
IJCAI
|
| 2022 | J | jnl |
CoRR
|
| 2022 | J | jnl |
CoRR
|
| 2021 | J | jnl |
CoRR
|
| 2021 | J | jnl |
J. Mach. Learn. Res.
|
| 2021 | A* | conf |
NeurIPS
|
| 2021 | — | conf |
SafeAI@AAAI
|
| 2020 | J | jnl |
CoRR
|
| 2019 | J | jnl |
CoRR
|
| 2019 | J | jnl |
CoRR
|