BY571 / D4PG
PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2RL which can be added to D4PG to improve its performance.
☆20Updated 3 years ago
Alternatives and similar repositories for D4PG:
Users that are interested in D4PG are comparing it to the libraries listed below
- Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional R…☆15Updated 2 years ago
- DecentralizedLearning☆23Updated 2 years ago
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆26Updated 2 years ago
- Distributional Soft Actor Critic☆51Updated 4 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆33Updated 3 years ago
- Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments☆27Updated 4 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated 6 months ago
- Codes for Paper "Delay-Aware Model-Based Reinforcement Learning for Continuous Control".☆26Updated 5 years ago
- Evolution-based Soft Actor-Critic (ESAC)☆41Updated 6 months ago
- ☆19Updated 8 months ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆40Updated 2 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…☆19Updated 2 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆64Updated last year
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆58Updated last year
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆45Updated 11 months ago
- Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"☆38Updated 4 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆55Updated 2 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆55Updated 8 months ago
- using recurrent networks(LSTM) to solve POMDPs☆35Updated 6 years ago
- Bayesian Reward Shaping Framework for Deep Reinforcement Learning☆23Updated 5 years ago
- PyTorch IMPALA implementation☆25Updated 5 years ago
- Inverse Constrained Reinforcement Learning (ICML 2021)☆21Updated 3 years ago
- A collection of environments and reference agents for planning and reinforcement learning research in partially observable, multi-agent …☆18Updated 3 months ago
- This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algor…☆26Updated last year
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆36Updated 2 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆42Updated 5 years ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 4 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆39Updated 3 months ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆32Updated 5 years ago
- An unofficial implementation for online decision transformer☆39Updated 2 years ago