Rishi Shah

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it

Whom Rishi Shah trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Sridhar Mahadevan (in Artificial Intelligence)

Papers from Rishi Shah's perspective

Ordered by how strongly the researchers Rishi Shah trusts endorse each paper. Same corpus, a different order for every researcher.

1. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
2. OpenAI Gym
3. A Reinforcement Learning Method for Maximizing Undiscounted Rewards
4. Learning to Drive a Bicycle Using Reinforcement Learning and Shaping
5. Principles of model checking
6. Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance
7. Average reward reinforcement learning: Foundations, algorithms, and empirical results
8. A survey of robot learning from demonstration
9. Potential-Based Shaping and Q-Value Initialization are Equivalent
10. Interactively shaping agents via human reinforcement: the TAMER framework

Their papers

• Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks (2020) — 57 citations