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:
- Constrained episodic reinforcement learning in concave-convex and knapsack settings☆11Updated last year
- Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning☆32Updated 7 years ago
- An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…☆13Updated 3 years ago
- ☆12Updated 3 years ago
- Code for Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation @ NeurIPS 2021☆12Updated 3 years ago
- Dynamic Measurement Scheduling for Event Forecasting using Deep RL (ICML 2019)☆10Updated 5 years ago
- Robust Multi-Agent Reinforcement Learning with State Uncertainty☆13Updated 2 years ago
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.☆48Updated 4 years ago
- A set of algorithms and environments to train SafeRL agents, written in TensorFlow2 and OpenAI Gym.☆12Updated 3 years ago
- ☆10Updated 2 years ago
- A community repository for benchmarking Bayesian methods☆11Updated 2 years ago
- ☆45Updated 3 years ago
- ☆16Updated 3 years ago
- TensorFlow implementation of "A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Le…☆16Updated 3 years ago
- Link to paper: https://www.ssrn.com/abstract=3804655☆14Updated 4 years ago
- This repository contains the code for RL for POMDPs through learning an Approximate Information State.☆21Updated 4 years ago
- Representation Learning in RL☆14Updated 3 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
- Reward Propagation using Graph Convolutional Networks☆13Updated 4 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆20Updated 3 years ago
- Ordered Preference Elicitation Strategies for Multi-Objective Decision Making using Gaussian Processes☆23Updated 7 years ago
- ☆30Updated last year
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆95Updated 2 months ago
- MBRL library in JAX☆10Updated 2 years ago
- Public implementation of "Encoding Human Domain Knowledge to Warm Start Reinforcement Learning" from AAAI'21☆20Updated last year
- Public code for implementation and experiments with differentiable decision trees.☆29Updated 10 months ago
- Safe Reinforcement Learning with Natural Language Constraints☆15Updated 3 years ago
- Asynchronous Elevator Control Simulator + Multi-Agent Reinforcement Learning training algorithms☆15Updated 7 years ago
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆35Updated 6 years ago