Zihan Ding

Reinforcement Learning · 2019

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

Whom Zihan Ding trusts

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

  1. Michael L. Littman (in Reinforcement Learning)

Papers from Zihan Ding's perspective

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

  1. Proximal Policy Optimization Algorithms (arXiv.org)
  2. The Arcade Learning Environment: An Evaluation Platform for General Agents
  3. MuJoCo: A physics engine for model-based control
  4. Temporal Difference Learning and TD-Gammon
  5. Mastering the game of Go without human knowledge
  6. Markov Games as a Framework for Multi-Agent Reinforcement Learning
  7. A Comprehensive Survey of Multiagent Reinforcement Learning
  8. A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
  9. Counterfactual Multi-Agent Policy Gradients (AAAI Conference on Artificial Intelligence)
  10. The Malmo Platform for Artificial Intelligence Experimentation

Their papers