☆33Jul 30, 2024Updated last year
Alternatives and similar repositories for active_ops
Users that are interested in active_ops are comparing it to the libraries listed below
Sorting:
- Implementation of the POIS algorithm☆15Apr 9, 2019Updated 6 years ago
- ☆24Oct 26, 2021Updated 4 years ago
- ☆22Nov 8, 2021Updated 4 years ago
- Official implementation of NeurIPS22 paper “Multi-agent Dynamic Algorithm Configuration”☆26Mar 6, 2023Updated 2 years ago
- Official code repo for paper: Hybrid RL: Using both offline and online data can make RL efficient.☆25Feb 16, 2023Updated 3 years ago
- ☆10Aug 17, 2022Updated 3 years ago
- Code for Expert Supervised Reinforcement Learning☆10Apr 7, 2021Updated 4 years ago
- ☆11Oct 19, 2020Updated 5 years ago
- ☆17Oct 12, 2023Updated 2 years ago
- Source code for the paper "Policy Architectures for Compositional Generalization in Control"☆30May 19, 2022Updated 3 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24May 30, 2019Updated 6 years ago
- PyTorch implementation of Count-Based Exploration with Neural Density Models☆10Mar 22, 2018Updated 7 years ago
- Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoo…☆12Jun 20, 2018Updated 7 years ago
- ☆19Aug 4, 2025Updated 6 months ago
- Count based exploration with the successor representation for Unity ML's Pyramid☆12Jun 19, 2019Updated 6 years ago
- ☆15Sep 7, 2022Updated 3 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Feb 21, 2020Updated 6 years ago
- ☆17Mar 21, 2021Updated 4 years ago
- ☆14May 31, 2022Updated 3 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆64Sep 6, 2023Updated 2 years ago
- Generalised UDRL☆37May 12, 2022Updated 3 years ago
- OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.☆62Aug 9, 2022Updated 3 years ago
- Source code for the Self-Paced Deep Reinforcement Learning Experiments☆32Mar 24, 2023Updated 2 years ago
- ☆19Apr 22, 2024Updated last year
- Code to reproduce the experiments in The Mirage of Action-Dependent Baselines in Reinforcement Learning.☆17Aug 2, 2018Updated 7 years ago
- The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.☆15Mar 22, 2023Updated 2 years ago
- Our version of #Exploration: A Study of Count-Based Explorationfor Deep Reinforcement Learning for a class project☆16Apr 30, 2021Updated 4 years ago
- Motion imitation with deep reinforcement learning.☆13Jul 24, 2019Updated 6 years ago
- The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)☆78Dec 5, 2023Updated 2 years ago
- ☆46Sep 24, 2024Updated last year
- Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…☆18Nov 8, 2024Updated last year
- Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"☆18Oct 21, 2022Updated 3 years ago
- Code release for "Supported Policy Optimization for Offline Reinforcement Learning" (NeurIPS 2022), https://arxiv.org/abs/2202.06239☆23Jun 24, 2023Updated 2 years ago
- ☆17Dec 30, 2024Updated last year
- Clockwork VAEs in JAX/Flax☆32Jul 16, 2021Updated 4 years ago
- Stein Variational Policy Gradient for REINFORCE☆18Jul 12, 2017Updated 8 years ago
- Thompson Sampling based Monte Carlo Tree Search for MDPs and POMDPs☆15Jun 20, 2016Updated 9 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆82Mar 9, 2023Updated 2 years ago
- Author's PyTorch implementation of SR-DICE for marginalized importance sampling☆28Dec 7, 2021Updated 4 years ago