Howuhh / evolution_strategies_openai
implementation of "Evolution Strategies as a Scalable Alternative to Reinforcement Learning" OpenAI paper
☆20Updated 3 years ago
Alternatives and similar repositories for evolution_strategies_openai:
Users that are interested in evolution_strategies_openai are comparing it to the libraries listed below
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆45Updated last year
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆26Updated 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
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆39Updated 4 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- DecentralizedLearning☆24Updated 2 years ago
- Paper list for constrained policy optimization in reinforcement learning.☆71Updated last year
- Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning☆40Updated 3 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆99Updated 2 years ago
- Multi-Agent Determinantal Q-Learning☆42Updated 2 years ago
- Generalized Proximal Policy Optimization with Sample Reuse (GePPO)☆21Updated last year
- ☆43Updated 4 years ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 2 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆34Updated last month
- ☆28Updated 3 years ago
- Learning Individual Intrinsic Reward in MARL☆62Updated 2 years ago
- Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems☆31Updated 6 years ago
- ☆27Updated 4 years ago
- ☆48Updated 3 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆58Updated 4 years ago
- ☆18Updated 5 years ago
- Deep Implicit Coordination Graphs☆41Updated 10 months ago
- The Starcraft Multi-Agent challenge lite☆42Updated 6 months ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Toolkit of Causal Model-based Reinforcement Learning.☆33Updated last year
- Combining Evolutionary Algorithms and deep Reinforcement Learning☆15Updated 6 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆56Updated 2 years ago
- ☆74Updated 9 months ago
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆24Updated last year