lizhuo-1994 / NECSAView external linksLinks
Official implementation of Neural Episodic Control with State Abstraction
☆13Aug 3, 2023Updated 2 years ago
Alternatives and similar repositories for NECSA
Users that are interested in NECSA are comparing it to the libraries listed below
Sorting:
- Source code for Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach (NeurIPS 2023)☆10Dec 12, 2023Updated 2 years ago
- ☆11Oct 3, 2022Updated 3 years ago
- ☆11Oct 19, 2020Updated 5 years ago
- Official code for Cross-Domain Policy Adaptation by Capturing Representation Mismatch (ICML 2024)☆14Aug 15, 2025Updated 6 months ago
- [IJCAI 2021] Solving Continuous Control with Episodic Memory☆15Apr 10, 2022Updated 3 years ago
- Implementation of Deepmind's Neural Episodic Control☆58May 9, 2018Updated 7 years ago
- ☆15Jul 1, 2021Updated 4 years ago
- ☆20May 25, 2023Updated 2 years ago
- TensorFlow implementation for our paper "Learning Long-Term Reward Redistribution via Randomized Return Decomposition"☆19Mar 17, 2022Updated 3 years ago
- Code for Efficient Continuous Control with Double Actors and Regularized Critics, AAAI 2022.☆22Mar 11, 2022Updated 3 years ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆22Jul 26, 2019Updated 6 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Dec 17, 2019Updated 6 years ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆29Oct 29, 2023Updated 2 years ago
- Code for ICLR 2022 paper Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.☆28Feb 21, 2022Updated 3 years ago
- ☆16Feb 1, 2026Updated 2 weeks ago
- Author's PyTorch implementation of TD7 for online and offline RL☆161Sep 12, 2023Updated 2 years ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆35Jan 5, 2023Updated 3 years ago
- Accepted at WWW 25 Industrial Track (oral)☆16Jun 6, 2025Updated 8 months ago
- Code for optimal execution☆12Oct 29, 2020Updated 5 years ago
- Implementation of BIMRL: Brain Inspired Meta Reinforcement Learning - Roozbeh Razavi et al. (IROS 2022)☆10Dec 1, 2022Updated 3 years ago
- Code for the paper "Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection"☆10Aug 7, 2023Updated 2 years ago
- A repo containing bash scripts to deploy reinforcement learning dev environment within one click!☆10May 15, 2025Updated 9 months ago
- Alpha mining with DEAP-based genetic programming.☆11Jul 7, 2023Updated 2 years ago
- Official implementation of the UMDQN algorithm presented in the scientific research paper entitled "Distributional Reinforcement Learning…☆11Jun 3, 2022Updated 3 years ago
- factory.ai FACTORY_API_KEY switch and query☆27Dec 6, 2025Updated 2 months ago
- This repository contains the code of the paper SO(2)-Equivariant Reinforcement Learning (ICLR 2022) and On-Robot Learning With Equivarian…☆38Oct 20, 2022Updated 3 years ago
- Implementation prototype of the Deep Deterministic Off-Policy Gradient (DD-OPG) method.☆11Jun 12, 2019Updated 6 years ago
- Python implementation of Predictive Coding Networks and Predictive Coding Graphs, using PyTorch.☆16Jul 22, 2024Updated last year
- Code for the paper Normalizing Flows are Capable Models for RL☆18Jun 3, 2025Updated 8 months ago
- 一款基于 Typora 的赛博朋克复古风主题(含 Mac 红绿灯)☆10Mar 9, 2024Updated last year
- The PackNet Continual Learning Method in Pytorch☆15Aug 19, 2021Updated 4 years ago
- ☆13Updated this week
- ☆11Sep 5, 2024Updated last year
- Prioritized Sequence Experience Replay☆10Aug 16, 2021Updated 4 years ago
- Official implementation for "Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows", NeurIPS 2022, O…☆12Jan 31, 2023Updated 3 years ago
- Authors' implementation of PEER☆11Jul 13, 2023Updated 2 years ago
- Model-based Hindsight Experience Replay☆10Jun 8, 2022Updated 3 years ago
- Gamepad API Content Kit☆14Jun 1, 2016Updated 9 years ago
- State of the art time series forecasting method that has the FFORMA ensemble learn from the ESRNN hybrid model and others.☆13Sep 7, 2022Updated 3 years ago