Applications

Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning ACML 2022 Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization AAAI 2022 Learning Semantics-Aware Locomotion Skills from Human Demonstration CoRL 2022 Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning CoRL 2022 Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing AAAI 2022 Learning to Constrain Policy Optimization with Virtual Trust Region NeurIPS 2022 Learning to Follow Instructions in Text-Based Games NeurIPS 2022 Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity CoRL 2022 Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information L4DC 2022 Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium NeurIPS 2022 Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers ICLR 2022 Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks CoRL 2022 Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets NeurIPS 2022 Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-based best-first search for Sokoban Planning NeurIPS 2022 Legged Locomotion in Challenging Terrains using Egocentric Vision CoRL 2022 Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity ICML 2022 Leveraging Fully Observable Policies for Learning under Partial Observability CoRL 2022 LISA: Learning Interpretable Skill Abstractions from Language NeurIPS 2022 Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning AAAI 2022 Low-Rank Modular Reinforcement Learning via Muscle Synergy NeurIPS 2022 Ludus: An Optimization Framework to Balance Auto Battler Cards AAAI 2022 Making Linear MDPs Practical via Contrastive Representation Learning ICML 2022 MAPDP: Cooperative Multi-Agent Reinforcement Learning to Solve Pickup and Delivery Problems AAAI 2022 MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer ICML 2022 Masked World Models for Visual Control CoRL 2022