cyoon1729 / Policy-Gradient-Methods
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
☆93Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for Policy-Gradient-Methods
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆199Updated 5 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆294Updated 2 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆253Updated 4 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆132Updated 5 years ago
- PyTorch implementation of SAC-Discrete.☆284Updated 3 months ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆268Updated 3 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆132Updated 3 months ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆122Updated 6 months ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆93Updated 4 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆280Updated last year
- Adaptive Attention Span for Reinforcement Learning☆131Updated 4 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆154Updated 2 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆150Updated 2 weeks ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆114Updated this week
- PyTorch implementation of FQF, IQN and QR-DQN.☆161Updated 3 months ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆171Updated last year
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆102Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆98Updated 4 years ago
- ☆188Updated last year
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆119Updated 3 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆94Updated 2 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆63Updated 5 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆117Updated 3 months ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆206Updated last year
- PyTorch implementation of GAIL and AIRL based on PPO.☆194Updated 3 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆158Updated 4 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆68Updated 7 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆134Updated last year
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆326Updated 2 years ago
- ☆117Updated 3 months ago