alirezakazemipour / Distributional-RL
Implementation of some of the Deep Distributional Reinforcement Learning Algorithms.
☆11Updated 3 years ago
Alternatives and similar repositories for Distributional-RL:
Users that are interested in Distributional-RL are comparing it to the libraries listed below
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆28Updated 2 years ago
- ☆49Updated 3 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆62Updated last year
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆36Updated 2 months ago
- DecentralizedLearning☆24Updated 2 years ago
- Deep Implicit Coordination Graphs☆41Updated 11 months ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 4 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆22Updated 4 years ago
- This repository is an implementation of "MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer"…☆21Updated last year
- PyTorch implementation of discrete version of Soft Actor-Critic.☆34Updated 3 years ago
- Official Repository for "Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing" (ICML2021)☆20Updated 3 years ago
- Benchmarked implementations of Offline RL Algorithms.☆72Updated 2 months ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆83Updated last year
- Distributional Soft Actor Critic☆53Updated 4 years ago
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆41Updated 3 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆56Updated 2 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆40Updated 6 years ago
- Multi-Agent Deep Reinforcement Learning by using Asynchronous & Impala Proximal Policy Optimization in Pytorch with some explanation☆36Updated 4 years ago
- Generalized Proximal Policy Optimization with Sample Reuse (GePPO)☆22Updated last year
- An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games☆28Updated 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
- ☆28Updated 3 years ago
- [IEEE Transactions on Intelligent Transportation Systems] Curricular Subgoal for Inverse Reinforcement Learning☆15Updated last year
- Pytorch GAIL VAIL AIRL VAIRL EAIRL SQIL Implementation☆65Updated 3 years ago
- Code for Adapting Environment Sudden Changes by Learning Context Sensitive Policy☆20Updated 2 years ago
- Multi-Agent Determinantal Q-Learning☆42Updated 2 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆77Updated last year
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆29Updated 4 months ago
- Implementations of safe reinforcement learning algorithms☆27Updated last year
- This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algor…☆26Updated last year