alirezakazemipour / Distributional-RLLinks
Implementation of some of the Deep Distributional Reinforcement Learning Algorithms.
☆25Updated 5 months ago
Alternatives and similar repositories for Distributional-RL
Users that are interested in Distributional-RL are comparing it to the libraries listed below
Sorting:
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆27Updated 3 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆84Updated 2 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆36Updated 4 years ago
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…☆54Updated last week
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆171Updated last year
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆88Updated 2 years ago
- Collection of OpenAI parametrized action-space environments.☆66Updated 7 months ago
- Distributional Soft Actor Critic☆59Updated 5 years ago
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆220Updated last year
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆92Updated last year
- 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 3 years ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆195Updated last year
- An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games☆32Updated 2 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆24Updated 4 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆119Updated last year
- Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional R…☆15Updated 2 years ago
- Datasets with baselines for Offline MARL.☆186Updated 2 weeks ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆181Updated 2 years ago
- DSAC; Distributional Soft Actor-Critic☆133Updated 9 months ago
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆70Updated 2 years ago
- Soft Actor-Critic with advanced features☆51Updated 3 weeks ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
- DecentralizedLearning☆25Updated 2 years ago
- Transformer in RL for decision-making☆102Updated 2 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆40Updated 9 months ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆61Updated 5 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆81Updated 2 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆54Updated 4 years ago
- ☆77Updated 2 years ago