NeurIPS 2021 Workshop Explores Advances in Deep Reinforcement Learning
The Deep Reinforcement Learning Workshop at NeurIPS 2021 gathers top researchers to discuss the latest breakthroughs in complex control tasks involving robotics and strategy games. The event features invited speakers from leading institutions and live-streamed presentations.
The Deep Reinforcement Learning Workshop at NeurIPS 2021 brings together researchers to explore the intersection of deep learning and reinforcement learning. By utilizing deep neural networks as function approximators, these researchers tackle increasingly complex control tasks across domains like robotics, strategy games, and multi-agent interactions.
The event features a full day of live-streamed content, including contributed talks on topics like implicit behavioral cloning and hybrid action representation. Attendees interact through dedicated chat functions and GatherTown links for virtual poster sessions, making the digital environment highly engaging for remote participants.
Leading experts from institutions such as Google, MIT, Stanford, and Brown University deliver invited talks to share their latest insights. This workshop serves as a vital platform for both specialized researchers and interested outsiders to understand the current state of the art and identify future directions in the rapidly evolving field of deep reinforcement learning.