Excited to announce that our paper “Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning” has been accepted to the NeurIPS Deep RL workshop in December!
We will demo our Crowdplay platform at the NeurIPS Offline RL workshop. Come see us during the poster session for a live demonstration of streaming OpenAI Gym and other RL environments to a browser client, playing Space Invaders against an AI agent trained with off-the-shelf RL pipelines, and a discussion of our large (300hrs+) dataset of human gameplay data in Atari 2600 games.
Our newest paper “Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning” is now available on arXiv.
We’ll be presenting our paper “Meta-RL for Multi-Agent RL: Learning to Adapt to Evolving Agents” at the NeurIPS Workshop on Meta-Learning!
- Sarah Keren and myself will be presenting our recent joint work at the IJCAI Workshop on Ad-Hoc Teamwork later this month.
- We will be at the ICML Workshop on Human-Machine Collaboration and Teaming to talk about crowdsourcing human-AI data at scale!
- The code and dataset for our Crowdplay project are now available on Github!
- We will be presenting our paper “CrowdPlay: Crowdsourcing Human Demonstrations for Offline Learning” at ICLR next month. Come say Hi!