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Govindarajan, P., Miret, S., Rector-Brooks, J., Phielipp, M., Rajendran, J., & Chandar, S. (2024). Learning conditional policies for crystal design using offline reinforcement learning. Digital Discovery, 3(4), 769-785. External link
Nekoei, H., Badrinaaraayanan, A., Sinha, A., Amini, M., Rajendran, J., Mahajan, A., & Anbil Parthipan, S. C. (2023, August). Dealing with non-stationarity in decentralized cooperative multi-agent deep reinforcement learning via multi-timescale learning [Paper]. 2nd Conference on Lifelong Learning Agents (CoLLAs 2023), Montreal, Qc. Canada. Unavailable
Nekoei, H., Zhao, X. T., Rajendran, J., Liu, M. A., & Anbil Parthipan, S. C. (2023, August). Towards few-shot coordination : revisiting ad-hoc teamplay challenge in the game of Hanabi [Paper]. 2nd Conference on Lifelong Learning Agents (CoLLAs 2023), Montreal, Qc, Canada. Unavailable
Rahimi-Kalahroudi, A., Rajendran, J., Momennejad, I., van Seijen, H., & Anbil Parthipan, S. C. (2023, August). Replay buffer with local forgetting for adapting to local environment changes in deep model-based reinforcement learning [Paper]. 2nd Conference on Lifelong Learning Agents (CoLLAs 2023), Montreal, Qc, Canada. External link
Rajendran, J., Khapra, M. M., Anbil Parthipan, S. C., & Ravindran, B. (2016, June). Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning [Paper]. Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, San Diego, California. External link
Saha, A., Khapra, M. M., Anbil Parthipan, S. C., Rajendran, J., & Cho, K. (2016, December). A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation [Paper]. 26th International Conference on Computational Linguistics (COLING 2016), Osaka, Japan. External link
Wan, Y., Rahimi-Kalahroudi, A., Rajendran, J., Momennejad, I., Anbil Parthipan, S. C., & van Seijen, H. (2022, July). Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods [Paper]. 39th International Conference on Machine Learning (ICML 2022), Baltimore, MD. External link
Zhao, X., Pan, Y., Xiao, C., Anbil Parthipan, S. C., & Rajendran, J. (2023, July). Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning [Paper]. 39th Conference on Uncertainty in Artificial Intelligence (UAI 2023), Pittsburgh, PA, USA. External link
