modanesh / recurrent_implicit_quantile_networksLinks
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
Alternatives and similar repositories for recurrent_implicit_quantile_networks
Users that are interested in recurrent_implicit_quantile_networks are comparing it to the libraries listed below
Sorting:
- Source code for the differential saliency method used in "Re-understanding Finite-State Representations of Recurrent Policy Networks"☆11Updated 2 years ago
- Anomalous versions of OpenAI Gym and PyBullet3 environments☆14Updated 4 years ago
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Updated 8 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 5 years ago
- Reinforcement learning algorithms in RLlib☆59Updated last year
- My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.☆37Updated 2 years ago
- ☆19Updated 2 years ago
- Hierarchical Self-Play☆21Updated 6 years ago
- Industrial Benchmark☆139Updated 2 years ago
- Implementation of VALOR (Variational Option Discovery Algorithms)☆10Updated 6 years ago
- Some example code for the "Introduction to Bayesian Reinforcement Learning" presentations☆29Updated 6 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago
- A python library for eXplainable Reinforcement Learning (XRL) based on the concept of interestingness elements.☆21Updated 4 years ago
- Contains implementation of the FILTER algorithm for exponentially faster inverse reinforcement learning.☆52Updated 2 years ago
- Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional R…☆15Updated 2 years ago
- AGAC: Adversarially Guided Actor-Critic☆47Updated 4 years ago
- Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play☆14Updated 7 years ago
- Experiments with reinforcement learning and recurrent neural networks☆115Updated 2 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆20Updated 4 years ago
- Official repo for our AAAI'21 paper, https://arxiv.org/abs/2007.12354☆27Updated 4 years ago
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆45Updated last month
- Reinforcement Learning via Latent State Decoding☆29Updated 2 years ago
- Prioritized Sequence Experience Replay☆10Updated 4 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆105Updated 3 years ago
- Ray RLlib tutorial material☆121Updated 3 years ago
- [NeurIPS 2022] Open source code for reusing prior computational work in RL.☆98Updated 2 years ago
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆108Updated 3 years ago
- Experiments with transformer based RL algorithms☆22Updated 6 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 7 years ago
- The source code for the gym-microrts paper.☆43Updated 3 years ago