dtak / POPCORN-POMDPLinks
Implementation of "POPCORN: Partially Observed Prediction Constrained Reinforcement Learning" (Futoma, Hughes, Doshi-Velez, AISTATS 2020)
☆11Updated 4 years ago
Alternatives and similar repositories for POPCORN-POMDP
Users that are interested in POPCORN-POMDP are comparing it to the libraries listed below
Sorting:
- ☆12Updated 3 years ago
- Constrained episodic reinforcement learning in concave-convex and knapsack settings☆11Updated 2 years ago
- ☆10Updated 3 years ago
- Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning☆30Updated 8 years ago
- Almost Surely Stable Deep Dynamics [NeurIPS 2020]☆13Updated 3 years ago
- An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…☆13Updated 3 years ago
- Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)☆45Updated 5 years ago
- Code for Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation @ NeurIPS 2021☆13Updated 4 years ago
- A set of algorithms and environments to train SafeRL agents, written in TensorFlow2 and OpenAI Gym.☆12Updated 3 years ago
- Safe Reinforcement Learning with Natural Language Constraints☆15Updated 4 years ago
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.☆46Updated 4 years ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆46Updated 5 years ago
- Ordered Preference Elicitation Strategies for Multi-Objective Decision Making using Gaussian Processes☆23Updated 7 years ago
- Robust Multi-Agent Reinforcement Learning with State Uncertainty☆13Updated 2 years ago
- Link to paper: https://www.ssrn.com/abstract=3804655☆13Updated 4 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- A community repository for benchmarking Bayesian methods☆12Updated 2 years ago
- ☆10Updated 6 years ago
- ☆14Updated 4 years ago
- Count based exploration with the successor representation for Unity ML's Pyramid☆12Updated 6 years ago
- ☆17Updated 3 years ago
- ☆48Updated 3 years ago
- ☆19Updated 2 years ago
- Representation Learning in RL☆13Updated 3 years ago
- Asynchronous Elevator Control Simulator + Multi-Agent Reinforcement Learning training algorithms☆16Updated 7 years ago
- ☆13Updated 3 years ago
- ☆11Updated 4 years ago
- Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…☆40Updated last year
- Hierarchical deep reinforcement learning for combinatorial optimization problem☆35Updated 6 years ago
- ☆16Updated 3 years ago