jihwan-jeong / xaddpy
☆13Updated last year
Alternatives and similar repositories for xaddpy
Users that are interested in xaddpy are comparing it to the libraries listed below
Sorting:
- ☆11Updated 3 years ago
- Code for paper: End-to-end Stochastic Optimization with Energy-based Model☆16Updated 2 years ago
- TaskMet Task-driven Metric Learning for Model Learning☆19Updated last year
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆30Updated 4 years ago
- implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies☆11Updated 4 years ago
- Reinforcement Learning Environments for Sustainable Energy Systems☆50Updated 11 months ago
- ☆25Updated last year
- Dual optimization to learn laplacian eigenpairs in arbitrary spaces☆13Updated 4 months ago
- The code of paper "Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming." published on …☆10Updated 7 years ago
- PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021☆16Updated 4 years ago
- Code base for NeurIPS 2022 paper Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.☆11Updated last year
- Few-shot Bayesian Imitation Learning with Policies as Logic over Programs☆19Updated 3 months ago
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆73Updated 3 years ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 3 years ago
- ☆18Updated 7 months ago
- ☆24Updated last year
- Code for Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation @ NeurIPS 2021☆12Updated 3 years ago
- Scalable Opponent Shaping Experiments in JAX☆24Updated last year
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆23Updated last year
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated last year
- Multi-agent active perception with prediction rewards☆12Updated 4 years ago
- ☆22Updated 3 years ago
- (ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices☆23Updated 3 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆28Updated 2 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 3 years ago
- Code for Goal-Aware Prediction: Learning to Model what Matters☆20Updated 4 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- Scalable MCTS for team scenarios☆16Updated 11 months ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- Official implementation of "Know Your Action Set: Learning Action Relations for Reinforcement Learning", Jain et al., ICLR 2022.☆17Updated 3 years ago