clementbernardd / Count-Based-Exploration
Our version of #Exploration: A Study of Count-Based Explorationfor Deep Reinforcement Learning for a class project
☆15Updated 4 years ago
Alternatives and similar repositories for Count-Based-Exploration
Users that are interested in Count-Based-Exploration are comparing it to the libraries listed below
Sorting:
- Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning☆22Updated 5 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆44Updated 6 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 5 years ago
- An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch☆24Updated 5 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆49Updated 2 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- ☆76Updated 11 months ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆27Updated 5 years ago
- Implementation of the Option-Critic Architecture☆39Updated 6 years ago
- DecentralizedLearning☆24Updated 2 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is t…☆44Updated 4 years ago
- PyTorch IMPALA implementation☆26Updated 5 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆33Updated 6 years ago
- Source code for "A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning" (ICML 2021)☆31Updated 2 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 4 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Updated 5 years ago
- ☆53Updated last year
- Assignments for CS294-112.☆30Updated 5 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆40Updated 6 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆68Updated last year
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 3 years ago
- This repository contains the official code for our NeurIPS 2021 publication "Robust Deep Reinforcement Learning through Adversarial Loss…☆30Updated 3 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).☆26Updated 3 years ago
- ☆49Updated 3 years ago
- This is a project using Pytorch to fulfill reinforcement learning on a simple game - Gridworld☆14Updated 4 years ago
- ☆20Updated 2 years ago