modanesh / Differential_IGLinks
Source code for the differential saliency method used in "Re-understanding Finite-State Representations of Recurrent Policy Networks"
☆11Updated 2 years ago
Alternatives and similar repositories for Differential_IG
Users that are interested in Differential_IG are comparing it to the libraries listed below
Sorting:
- Anomalous versions of OpenAI Gym and PyBullet3 environments☆15Updated 4 years ago
- Implementation of the Recurrent Implicit Quantile Networks (RIQNs), used as a baseline in the OOD detection in the anomalous RL benchmark☆14Updated 4 years ago
- Source code for Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach (NeurIPS 2023)☆10Updated 2 years ago
- ☆14Updated 3 months ago
- ☆75Updated last year
- Benchmarking RL generalization in an interpretable way.☆173Updated 2 months ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆38Updated 3 years ago
- Partially Observable Process Gym☆211Updated 7 months ago
- Object Centric Atari games☆99Updated 2 months ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆86Updated last year
- ☆13Updated last year
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆113Updated last year
- Deep Hierarchical Planning from Pixels☆114Updated 3 years ago
- Representation Learning (RepL) Methods in Reinforcement Learning and Causal Inference☆30Updated 2 months ago
- [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …☆40Updated last year
- ExORL: Exploratory Data for Offline Reinforcement Learning☆126Updated 4 years ago
- ☆15Updated 2 years ago
- Official python implementation of ASGRL in ICML 2022 paper: Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill D…☆20Updated 3 years ago
- Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL☆23Updated last year
- Pytorch version of Dreamer, which follows the original TF v2 codes.☆140Updated 4 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆191Updated 3 years ago
- ☆55Updated 2 years ago
- Conservative Q Learning on top of SAC☆136Updated 3 years ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆93Updated last year
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆29Updated 3 years ago
- Example implemention of the Proximal Policy Optimization algorithm☆17Updated last year
- Synthetic Experience Replay☆107Updated last year
- Datasets for data-driven deep reinforcement learning with Atari (wrapper for datasets released by Google)☆126Updated last year
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆76Updated 2 years ago
- Gym-like extensions for POMDP☆56Updated 4 years ago