wisnunugroho21 / asynchronous_impala_PPOLinks
Multi-Agent Deep Reinforcement Learning by using Asynchronous & Impala Proximal Policy Optimization in Pytorch with some explanation
☆37Updated 5 years ago
Alternatives and similar repositories for asynchronous_impala_PPO
Users that are interested in asynchronous_impala_PPO are comparing it to the libraries listed below
Sorting:
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆182Updated 3 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆171Updated last year
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆98Updated 5 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆143Updated last year
- PyTorch implementation of FQF, IQN and QR-DQN.☆186Updated last year
- Prioritized Experience Replay implementation with proportional prioritization☆85Updated 2 years ago
- Datasets with baselines for Offline MARL.☆191Updated last month
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆176Updated last year
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆221Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆137Updated 3 months ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆107Updated 3 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆154Updated 2 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 7 months ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆214Updated 2 years ago
- An Implementation of Recurrent Experience Replay in Distributed Reinforcement Learning (Kapturowski et al. 2019) in PyTorch☆54Updated 3 years ago
- Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'☆71Updated 3 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆139Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆190Updated 3 years ago
- A collection of offline reinforcement learning algorithms.☆207Updated last year
- Level-based Foraging (LBF): A multi-agent environment for RL☆198Updated last year
- Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games☆54Updated last year
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆40Updated 9 months ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆93Updated 2 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆90Updated 2 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆85Updated 3 years ago
- ☆115Updated 2 years ago
- An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games☆32Updated 3 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆167Updated 3 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆232Updated 5 years ago