July 2023: Our work Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning, Hadi Nekoei, Akilesh Badrinaaraayanan, Amit Sinha, Mohammad Amini, Janarthanan Rajendran, Aditya Mahajan, Sarath Chandar, has been accepted at the Conference on Lifelong Learning Agents (CoLLAs) 2023.
June 2023: I will be joining the Faculty of Computer Science at Dalhousie University, Halifax, as an Assistant Professor in January 2024. :)
May 2023: Our work Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning, Xutong Zhao, Yangchen Pan, Chenjun Xiao, Sarath Chandar, Janarthanan Rajendran, has been accepted at the Conference on Uncertainty in Artificial Intelligence (UAI) 2023.
May 2023: Our work Replay Buffer with Local Forgetting for Adaptive Deep Model-Based Reinforcement Learning, Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Harm van Seijen, Sarath Chandar, has been accepted at the Conference on Lifelong Learning Agents (CoLLAs) 2023.
May 2023: Our work Towards Few-shot Coordination: Revisiting Ad-Hoc Teamplay Challenge in the Game of Hanabi, Hadi Nekoei, Xutong Zhao, Janarthanan Rajendran, Miao Liu, Sarath Chandar, has been accepted at the Conference on Lifelong Learning Agents (CoLLAs) 2023.
March 2023: Our work Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning, Xutong Zhao, Yangchen Pan, Chenjun Xiao, Sarath Chandar, Janarthanan Rajendran, is now up on arXiv.
Feb 2023: Our work Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning, Hadi Nekoei, Akilesh Badrinaaraayanan, Amit Sinha, Mohammad Amini, Janarthanan Rajendran, Aditya Mahajan, Sarath Chandar, is now up on arXiv.
Nov 2022: Our work Replay Buffer with Local Forgetting for Adaptive Deep Model-Based Reinforcement Learning, Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Harm van Seijen, Sarath Chandar, has been accepted at the Workshop on Deep Reinforcement Learning at NeurIPS 2022.
Oct 2022: Our work PatchBlender: A Motion Prior for Video Transformers, Gabriele Prato, Yale Song, Janarthanan Rajendran, Devon Hjelm, Neel Joshi, Sarath Chandar, has been accepted at Workshop on Vision Transformers: Theory and Applications at NeurIPS 2022.
Aug 2022: Conference on Lifelong Learning Agents (CoLLAs) 2022!
July 2022: Our work An Introduction to Lifelong Supervised Learning, Shagun Sodhani, Mojtaba Faramarzi, Sanket Vaibhav Mehta, Pranshu Malviya, Mohamed Abdelsalam, Janarthanan Janarthanan, Sarath Chandar, is now up on arXiv.
May 2022: Our work Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods, Yi Wan*, Ali Rahimi-Kalahroudi*, Janarthanan Rajendran, Ida Momennejad, Sarath Chandar, Harm van Seijen, has been accepted at the International Conference on Machine Learning (ICML) 2022.
Mar 2022: Our work Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods, Yi Wan*, Ali Rahimi-Kalahroudi*, Janarthanan Rajendran, Ida Momennejad, Sarath Chandar, Harm van Seijen, has been accepted at the Workshop on Agent Learning in Open-Endedness (ALOE) at ICRL 2022.
Mar 2022: Our work Staged independent learning: Towards decentralized cooperative multi-agent Reinforcement Learning, Hadi Nekoei, Akilesh Badrinaaraayanan, Amit Sinha, Mohammad Amini, Janarthanan Rajendran, Aditya Mahajan, Sarath Chandar, has been accepted at the Workshop on Gamification and Multi-Agent Solutions at ICLR 2022.