bonniesjli / DQN_SRView external linksLinks
Count based exploration with the successor representation for Unity ML's Pyramid
☆12Jun 19, 2019Updated 6 years ago
Alternatives and similar repositories for DQN_SR
Users that are interested in DQN_SR are comparing it to the libraries listed below
Sorting:
- Project on Successor Features in Deep Reinforcement Learning and Transfer Learning☆24Feb 5, 2018Updated 8 years ago
- ☆31Jul 1, 2019Updated 6 years ago
- The implementation of Discriminator Soft Actor Critic☆15Jan 25, 2020Updated 6 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Feb 24, 2023Updated 2 years ago
- Gym implementation of connector to Deepmind lab☆12Mar 26, 2019Updated 6 years ago
- On Simple Reactive Neural Networks for Behaviour-Based Reinforcement Learning by Ameya Pore and Gerardo Aragon-Camarasa☆10Jan 28, 2020Updated 6 years ago
- ☆10Aug 17, 2022Updated 3 years ago
- Reinforcement learning algorithm implementation☆10Oct 31, 2021Updated 4 years ago
- ☆11Oct 19, 2020Updated 5 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆30Mar 14, 2019Updated 6 years ago
- PyTorch implementation of Count-Based Exploration with Neural Density Models☆10Mar 22, 2018Updated 7 years ago
- This repository contains implementations of the paper VUSFA☆14Mar 31, 2021Updated 4 years ago
- Convergent Policy Optimization for Safe Reinforcement Learning☆11Oct 26, 2019Updated 6 years ago
- testing MLP, DQN, PPO, SAC, policy-gradient by snakeAI☆11May 6, 2025Updated 9 months ago
- A MATLAB simple interactive Reinforcement Learning environment for Evolutionary Neural Network-based car with a proximity sensor☆14Apr 11, 2019Updated 6 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Feb 21, 2020Updated 5 years ago
- P3O paper code☆30Aug 7, 2019Updated 6 years ago
- Code for VIREL: A Variational Inference Framework for Reinforcement Learning☆14Dec 1, 2019Updated 6 years ago
- Co-training for Policy Learning☆13Aug 8, 2019Updated 6 years ago
- Exploration by Random Network Distillation☆15Dec 30, 2018Updated 7 years ago
- Here is our algorithm for Pursuit Problem based on the Distributed Reinforcement Learning for Cooperative Multi-robot Pursuit☆10Apr 17, 2019Updated 6 years ago
- Code for Optimistic Exploration even with a Pessimistic Initialisation☆14Aug 4, 2020Updated 5 years ago
- Code for the paper "TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning", Artemij Amiranashvili, Ale…☆12Aug 24, 2018Updated 7 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Feb 1, 2020Updated 6 years ago
- Model-Free-Episodic-Control implementation.☆17Jun 3, 2019Updated 6 years ago
- [MIG2021] Deep Reinforcement Learning with Particle Filtering Policy Network for Physics-Based Character Control☆17Feb 25, 2022Updated 3 years ago
- Exploration based Reinforcement Learning. (Montezuma Revenge)☆14Jul 23, 2018Updated 7 years ago
- Pytorch implementation of Planar Flow☆17Dec 2, 2019Updated 6 years ago
- Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies☆19Mar 10, 2021Updated 4 years ago
- Motion imitation with deep reinforcement learning.☆13Jul 24, 2019Updated 6 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Dec 8, 2022Updated 3 years ago
- Meta Reinforcement Learning Experiments☆35Aug 22, 2017Updated 8 years ago
- Code for Sibling Rivalry and experiments presented in associated paper☆17May 1, 2025Updated 9 months ago
- A Reinforcement Learning / Neural Network library, written in Rust.☆21Mar 7, 2021Updated 4 years ago
- Exploration Strategies for Deep Reinforcement Learning☆39Oct 31, 2018Updated 7 years ago
- Collection of reinforcement learning algorithms☆16Sep 29, 2025Updated 4 months ago
- Dynamic channel allocation in cellular networks by reinforcement learning☆18May 25, 2022Updated 3 years ago
- In Progress : State of the art Distributed Distributional Deep Deterministic Policy Gradient algorithm implementation in pytorch.☆19Jun 15, 2018Updated 7 years ago
- Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning☆19Jan 11, 2023Updated 3 years ago