apourchot / ERL-pytorchLinks
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
Sorting:
- Evolution-based Soft Actor-Critic (ESAC)☆42Updated 10 months ago
- This is the official implementation of ERL-Re2.☆64Updated 11 months ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆27Updated 5 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆102Updated 4 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- Implementation of NeurIPS2021 paper <On Effective Scheduling of Model-based Reinforcement Learning>☆13Updated 3 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆94Updated 2 years ago
- Collection of OpenAI parametrized action-space environments.☆65Updated 2 months ago
- ☆20Updated 5 years ago
- Generalized Proximal Policy Optimization with Sample Reuse (GePPO)☆24Updated last year
- Code for "Proximal Distilled Evolutionary Reinforcement Learning", accepted at AAAI 2020☆52Updated 10 months ago
- Multi-Objective Deep Reinforcement Learning☆45Updated 8 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
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆49Updated 3 weeks ago
- Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning☆38Updated 2 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated 7 months ago
- (ICML 2024) The official code for EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search☆26Updated 11 months ago
- Sample-Efficient Automated Deep Reinforcement Learning☆34Updated 4 years ago
- Multi-Objective Reinforcement Learning components built on top of RL glue components☆29Updated 2 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games☆29Updated 2 years ago
- Learning Individual Intrinsic Reward in MARL☆62Updated 2 years ago
- qmix☆22Updated 5 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆64Updated 5 years ago
- Delayed RL agent for non-Atari tasks, from "Acting in Delayed Environments with Non-Stationary Markov Policies", ICLR 2021.☆14Updated last year
- ☆76Updated last year
- Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning☆22Updated 5 years ago
- Multi-objective reinforcement learning deals with finding policies for tasks where there are multiple distinct criteria to optimize for. …☆22Updated 6 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 5 years ago
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…☆52Updated 4 years ago