Applications

Egocentric Planning for Scalable Embodied Task Achievement NeurIPS 2023 Emergence of Abstract State Representations in Embodied Sequence Modeling EMNLP 2023 Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning ICML 2023 Emergent Quantized Communication AAAI 2023 Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models CoRL 2023 Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments ICML 2023 Enhancing Smart, Sustainable Mobility with Game Theory and Multi-Agent Reinforcement Learning With Applications to Ridesharing AAAI 2023 ENTL: Embodied Navigation Trajectory Learner ICCV 2023 Entropic Risk Optimization in Discounted MDPs AISTATS 2023 Equivariant Reinforcement Learning under Partial Observability CoRL 2023 ERASOR2: Instance-Aware Robust 3D Mapping of the Static World in Dynamic Scenes RSS 2023 ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation ICLR 2023 Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks AAAI 2023 Evolving Populations of Diverse RL Agents with MAP-Elites ICLR 2023 Expansive Latent Planning for Sparse Reward Offline Reinforcement Learning CoRL 2023 Exploiting Proximity-Aware Tasks for Embodied Social Navigation ICCV 2023 FanoutNet: A Neuralized PCB Fanout Automation Method Using Deep Reinforcement Learning AAAI 2023 FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing CoRL 2023 Finding Counterfactually Optimal Action Sequences in Continuous State Spaces NeurIPS 2023 Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning AISTATS 2023 Fine-Grained Human Feedback Gives Better Rewards for Language Model Training NeurIPS 2023 Finetuning Offline World Models in the Real World CoRL 2023 Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning ICML 2023 Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery AAAI 2023 FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation ICLR 2023