alirezakazemipour / Continuous-PPO
Proximal Policy Optimization (Continuous Version) in PyTorch.
☆27Updated 3 years ago
Alternatives and similar repositories for Continuous-PPO:
Users that are interested in Continuous-PPO are comparing it to the libraries listed below
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆86Updated 2 years ago
- Benchmarks for Multi-Objective Multi-Agent Decision Making☆88Updated last month
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆48Updated last year
- Deep Reinforcement Learning Framework done with PyTorch☆36Updated last month
- Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.☆97Updated last year
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 4 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆77Updated last year
- The Starcraft Multi-Agent challenge lite☆42Updated 7 months ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 9 months ago
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/☆95Updated 4 years ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆176Updated 10 months ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆49Updated 2 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Datasets with baselines for offline multi-agent reinforcement learning.☆166Updated 2 weeks ago
- Multi-Agent Deep Reinforcement Learning by using Asynchronous & Impala Proximal Policy Optimization in Pytorch with some explanation☆36Updated 4 years 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
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆51Updated 2 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆99Updated 3 years ago
- Reproduction of Dreamerv1 and v2 in pytorch for deepmind control suite☆38Updated 2 years ago
- DEPRECATED - please visit https://github.com/vwxyzjn/ppo-implementation-details☆46Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 4 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆142Updated last year
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆161Updated 10 months ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆123Updated 4 years ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆111Updated 8 months ago
- A general model-free off-policy actor-critic implementation. Continuous and Discrete Soft Actor-Critic with multimodal observations, data…☆38Updated last year
- DecentralizedLearning☆24Updated 2 years ago
- Collection of OpenAI parametrized action-space environments.☆64Updated last month
- Level-based Foraging (LBF): A multi-agent environment for RL☆179Updated 7 months ago