miryoosefi / ConRLLinks
Constrained episodic reinforcement learning in concave-convex and knapsack settings
☆11Updated last year
Alternatives and similar repositories for ConRL
Users that are interested in ConRL are comparing it to the libraries listed below
Sorting:
- Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning☆32Updated 7 years ago
- Reinforcement Learning with Convex Constraints☆14Updated 3 years ago
- Implementation of "POPCORN: Partially Observed Prediction Constrained Reinforcement Learning" (Futoma, Hughes, Doshi-Velez, AISTATS 2020)☆11Updated 4 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- Robust policy search algorithms which train on model ensembles☆30Updated 8 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Updated 5 years ago
- Code implementation of: "Graying the black box: Understanding DQNs"☆20Updated 8 years ago
- Representation Learning in RL☆14Updated 3 years ago
- Ranking Policy Gradient☆23Updated 5 years ago
- A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…☆22Updated 4 years ago
- Model Primitive Hierarchical Reinforcement Learning☆13Updated 2 years ago
- ☆11Updated 4 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- Exploring the use of options in creating small worlds for faster learning in RL Domains☆16Updated 13 years ago
- Contextual Bandits Action Elimination DQN☆21Updated 7 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- This is my implementation of the Optimality Tightening☆37Updated 8 years ago
- Code for abstracting, evaluating, and visualizing Markov Decision Processes.☆10Updated 8 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆48Updated 6 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Updated 2 years ago
- Code for doubly stochastic gradients☆25Updated 10 years ago
- A community repository for benchmarking Bayesian methods☆11Updated 2 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆20Updated 3 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Reward Propagation using Graph Convolutional Networks☆13Updated 4 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Updated 2 years ago
- Generalised UDRL☆37Updated 3 years ago
- A Continual Multi-agent RL testbed based on Hanabi☆30Updated 4 years ago
- ☆35Updated 7 years ago