devzhk / LMCTSLinks
☆12Updated 3 years ago
Alternatives and similar repositories for LMCTS
Users that are interested in LMCTS are comparing it to the libraries listed below
Sorting:
- ☆11Updated 2 years ago
- A community repository for benchmarking Bayesian methods☆12Updated 2 years ago
- Implementation of "POPCORN: Partially Observed Prediction Constrained Reinforcement Learning" (Futoma, Hughes, Doshi-Velez, AISTATS 2020)☆11Updated 4 years ago
- Representation Learning in RL☆13Updated 3 years ago
- Github for the NIPS 2020 paper "Learning outside the black-box: at the pursuit of interpretable models"☆15Updated 3 years ago
- ☆15Updated 3 years ago
- Accompanying code for our NeurIPS 2019 paper☆12Updated 6 years ago
- ☆16Updated 4 years ago
- Code for Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation @ NeurIPS 2021☆13Updated 4 years ago
- ☆11Updated 2 weeks ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆32Updated last year
- ☆53Updated 3 years ago
- ☆10Updated 3 years ago
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago
- ☆29Updated last year
- Almost Surely Stable Deep Dynamics [NeurIPS 2020]☆13Updated 3 years ago
- ☆48Updated 3 years ago
- Bayesian Optimization with Density-Ratio Estimation☆24Updated 3 years ago
- csl: PyTorch-based Constrained Learning☆12Updated 3 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆52Updated 4 years ago
- implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies☆13Updated 4 years ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆46Updated 5 years ago
- Tools for robustness evaluation in interpretability methods☆10Updated 4 years ago
- Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.☆20Updated 4 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆21Updated 4 years ago
- Ordered Preference Elicitation Strategies for Multi-Objective Decision Making using Gaussian Processes☆23Updated 7 years ago
- ☆17Updated 3 years ago
- Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.☆37Updated 5 years ago
- hsvgbkhgbv / Thermostat-assisted-continuously-tempered-Hamiltonian-Monte-Carlo-for-Bayesian-learningThermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning☆10Updated 7 years ago
- ☆32Updated 4 years ago