apourchot / ERL-pytorch
Combining Evolutionary Algorithms and deep Reinforcement Learning
☆16Updated 6 years ago
Alternatives and similar repositories for ERL-pytorch:
Users that are interested in ERL-pytorch are comparing it to the libraries listed below
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆29Updated last year
- This is the official implementation of ERL-Re2.☆64Updated 10 months ago
- Simulation environments for Multi-Objective Reinforcement Learning (MORL)☆16Updated 2 years ago
- ☆20Updated 5 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆102Updated 4 years ago
- Collection of OpenAI parametrized action-space environments.☆64Updated last month
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆46Updated last year
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆118Updated 5 months ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆49Updated 2 years ago
- Implementation for mSAC methods in PyTorch☆41Updated 3 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
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆94Updated last year
- Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)☆22Updated 2 years ago
- qmix☆22Updated 4 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- Code for "Proximal Distilled Evolutionary Reinforcement Learning", accepted at AAAI 2020☆52Updated 9 months ago
- An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games☆28Updated 2 years ago
- Hierarchical deep reinforcement learning for combinatorial optimization problem☆35Updated 5 years ago
- Evolution-based Soft Actor-Critic (ESAC)☆41Updated 9 months ago
- Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement…☆20Updated 2 years ago
- ☆75Updated 10 months ago
- Experiments on a discrete mean field game model of population dynamics with reinforcement learning☆35Updated last year
- Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning☆38Updated 2 years ago
- My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.☆37Updated 2 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- Delayed RL agent for non-Atari tasks, from "Acting in Delayed Environments with Non-Stationary Markov Policies", ICLR 2021.☆14Updated last year
- Training Agents in a cooperative multi-agent deep reinforcement learning setting to transport objects across a space☆15Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆39Updated 4 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 4 years ago