wisnunugroho21 / reinforcement_learning_ppo_rnd
Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation
☆50Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for reinforcement_learning_ppo_rnd
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆96Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆161Updated 4 months ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆170Updated last year
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆43Updated last year
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆161Updated 2 months ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆120Updated 3 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆124Updated 6 months ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆148Updated 4 months ago
- There will be updates later☆82Updated 5 years ago
- ☆106Updated last year
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated last year
- Multi-Agent Deep Reinforcement Learning by using Asynchronous & Impala Proximal Policy Optimization in Pytorch with some explanation☆32Updated 4 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆111Updated last year
- The official code releasement of publications in MARL field of TJU RL lab.☆57Updated 2 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆25Updated 4 years ago
- Multi-Agent Determinantal Q-Learning☆42Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆157Updated 2 years ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆153Updated 5 months ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated last year
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆81Updated last year
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆45Updated 8 months ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆117Updated 3 months ago
- Datasets with baselines for offline multi-agent reinforcement learning.☆145Updated 2 weeks ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆44Updated 3 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆133Updated 5 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆114Updated 2 weeks ago
- A collection of offline reinforcement learning algorithms.☆159Updated 5 months ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆149Updated last year
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆63Updated 5 years ago