Reinforcement Learning

Discovering a set of policies for the worst case reward ICLR 2021 Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization ICLR 2021 Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates NeurIPS 2021 Dynamic Coordination Graph for Cooperative Multi-Agent Reinforcement Learning ACML 2021 EasyRL: A Simple and Extensible Reinforcement Learning Framework AAAI 2021 Efficient Empowerment Estimation for Unsupervised Stabilization ICLR 2021 Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL ICLR 2021 Efficient Wasserstein Natural Gradients for Reinforcement Learning ICLR 2021 Encoding Human Domain Knowledge to Warm Start Reinforcement Learning AAAI 2021 Evolving Reinforcement Learning Algorithms ICLR 2021 Expected Eligibility Traces AAAI 2021 Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework AAAI 2021 Exploration via State influence Modeling AAAI 2021 Extending Policy Shaping to Continuous State Spaces (Student Abstract) AAAI 2021 FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization ICLR 2021 Generalizable Imitation Learning from Observation via Inferring Goal Proximity NeurIPS 2021 GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling AAAI 2021 Grounding Language to Autonomously-Acquired Skills via Goal Generation ICLR 2021 Hierarchically and Cooperatively Learning Traffic Signal Control AAAI 2021 How RL Agents Behave When Their Actions Are Modified AAAI 2021 Improving Sample Efficiency in Model-Free Reinforcement Learning from Images AAAI 2021 Introduction to Machine Learning with Robots and Playful Learning AAAI 2021 Inverse Reinforcement Learning From Like-Minded Teachers AAAI 2021 Inverse Reinforcement Learning with Explicit Policy Estimates AAAI 2021 Inverse Reinforcement Learning with Natural Language Goals AAAI 2021