gioramponi / sigma-girl-MIIRLLinks
Code of Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions
☆13Updated 2 years ago
Alternatives and similar repositories for sigma-girl-MIIRL
Users that are interested in sigma-girl-MIIRL are comparing it to the libraries listed below
Sorting:
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated last year
- Dual optimization to learn laplacian eigenpairs in arbitrary spaces☆14Updated 6 months ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆34Updated 2 years ago
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.☆47Updated 4 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆55Updated 4 years ago
- ☆18Updated 2 years ago
- A Python package that provides a simple framework for working with Options in Reinforcement Learning.☆22Updated 4 months ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆39Updated 7 months ago
- Official repository for paper "Conservative Offline Distributional Reinforcement Learning" (NeurIPS 2021)☆21Updated 3 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆62Updated last year
- Official implementation of the paper `Augmenting GAIL with BC for sample efficient imitation learning` in PyTorch☆33Updated 4 years ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆33Updated 2 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆45Updated 3 years ago
- Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]☆53Updated 3 years ago
- Code for Posterior Sampling for Deep Reinforcement Learning, ICML 2023☆27Updated last year
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆39Updated 2 years ago
- Prioritized Sequence Experience Replay☆10Updated 3 years ago
- Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting☆35Updated 4 years ago
- ☆26Updated 2 years ago
- ☆21Updated last year
- Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments☆27Updated 4 years ago
- Code for demonstration example-task in RUDDER blog☆23Updated 5 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆114Updated 3 years ago
- ☆42Updated 2 years ago
- ☆31Updated 4 years ago
- Learning diverse options through the Laplacian representation.☆23Updated last year
- Offline Reinforcement Learning Reading Group☆27Updated 2 years ago
- Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)☆22Updated 2 years ago