Reinforcement Learning

Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation CoRL 2023 Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies NeurIPS 2023 Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting ICLR 2023 EDGI: Equivariant Diffusion for Planning with Embodied Agents NeurIPS 2023 Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles AAAI 2023 Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning NeurIPS 2023 Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning NeurIPS 2023 Efficient Deep Reinforcement Learning Requires Regulating Overfitting ICLR 2023 Efficient Diffusion Policies For Offline Reinforcement Learning NeurIPS 2023 Efficient Exploration in Continuous-time Model-based Reinforcement Learning NeurIPS 2023 Efficient Exploration in Resource-Restricted Reinforcement Learning AAAI 2023 Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization ICML 2023 Efficiently Computing Nash Equilibria in Adversarial Team Markov Games ICLR 2023 Efficient Model-Free Exploration in Low-Rank MDPs NeurIPS 2023 Efficient Offline Policy Optimization with a Learned Model ICLR 2023 Efficient Online Reinforcement Learning with Offline Data ICML 2023 Efficient Planning in a Compact Latent Action Space ICLR 2023 Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning AISTATS 2023 Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents NeurIPS 2023 Efficient Potential-based Exploration in Reinforcement Learning using Inverse Dynamic Bisimulation Metric NeurIPS 2023 Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation ICML 2023 Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors RSS 2023 Efficient Reinforcement Learning Through Trajectory Generation L4DC 2023 Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations NeurIPS 2023 Efficient Sim-to-real Transfer of Contact-Rich Manipulation Skills with Online Admittance Residual Learning CoRL 2023