seungjaeryanlee / rldbView external linksLinks
Performances of Reinforcement Learning Agents
☆53Dec 19, 2019Updated 6 years ago
Alternatives and similar repositories for rldb
Users that are interested in rldb are comparing it to the libraries listed below
Sorting:
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆24Apr 8, 2024Updated last year
- Code for abstracting, evaluating, and visualizing Markov Decision Processes.☆10Jan 12, 2017Updated 9 years ago
- Logarithmic Reinforcement Learning☆28Apr 7, 2023Updated 2 years ago
- ☆11Oct 14, 2019Updated 6 years ago
- rllab's viskit with some added features☆73May 1, 2023Updated 2 years ago
- Code base for NeurIPS 2022 paper Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.☆11Aug 21, 2023Updated 2 years ago
- Tools and Utils for Experiments (TUX)☆15Jan 28, 2025Updated last year
- ☆23Nov 9, 2021Updated 4 years ago
- Tensorflow implementation of the map reading algorithm described in ‘Teaching a Machine to Read Maps with Deep Reinforcement Learning’☆32Nov 14, 2017Updated 8 years ago
- This repository is a collection of widely used self-supervised auxiliary losses used for learning representations in reinforcement learni…☆14Feb 27, 2023Updated 2 years ago
- ☆17Jan 24, 2024Updated 2 years ago
- Implementation of "Training Agents using Upside-Down Reinforcement Learning (https://arxiv.org/pdf/1912.02877.pdf)"☆17Dec 17, 2019Updated 6 years ago
- Collection of awesome Call for Papers to submit your Reinforcement Learning papers☆18Sep 13, 2021Updated 4 years ago
- Research project - real-time multi-agent pursuit a moving target☆17Mar 13, 2021Updated 4 years ago
- Python Q learning implementations and application examples in wireless networks☆17Feb 10, 2017Updated 9 years ago
- Round 1 Starter Kit for the MarLo challenge☆21Sep 27, 2018Updated 7 years ago
- In Progress : State of the art Distributed Distributional Deep Deterministic Policy Gradient algorithm implementation in pytorch.☆19Jun 15, 2018Updated 7 years ago
- ☆23Oct 7, 2018Updated 7 years ago
- Reinforcement Learning with Perturbed Reward, AAAI 2020☆30Aug 2, 2024Updated last year
- Convert DeepMind Control Suite to OpenAI gym environments.☆87Jan 31, 2020Updated 6 years ago
- ☆20Oct 4, 2022Updated 3 years ago
- PyTorch implementation of (Deep) Reinforcement Learning (RL) algorithms☆25Jun 26, 2022Updated 3 years ago
- research and implementations of Deep RL agents and their applications☆59Aug 31, 2025Updated 5 months ago
- The Winning Solution for the Learning To Run Challenge 2017☆60Jul 4, 2018Updated 7 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,198Oct 17, 2022Updated 3 years ago
- State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox☆163Aug 6, 2019Updated 6 years ago
- ☆26Jun 14, 2022Updated 3 years ago
- OpenAI Gym Wrapper for DeepMind Control Suite☆74Nov 30, 2021Updated 4 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆30Mar 14, 2019Updated 6 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24May 30, 2019Updated 6 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆107Nov 17, 2020Updated 5 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆128Feb 8, 2022Updated 4 years ago
- ☆30Feb 20, 2021Updated 4 years ago
- ☆114Nov 15, 2019Updated 6 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Dec 11, 2020Updated 5 years ago
- OpenAI Gym environments using DART☆26Feb 27, 2023Updated 2 years ago
- PyTorch Implementation of Ape-X (Distributed prioritized experience replay) architecture with DQN learner☆28Sep 5, 2020Updated 5 years ago
- reinforcement learning from randomized simulations☆68Mar 31, 2025Updated 10 months ago
- Reinforcement Learning in FX Trading☆28Aug 17, 2019Updated 6 years ago