toshikwa / sac-discrete.pytorch
PyTorch implementation of SAC-Discrete.
☆284Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for sac-discrete.pytorch
- PyTorch implementation of Soft Actor-Critic (SAC)☆515Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆295Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆281Updated last year
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆271Updated 3 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆327Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆161Updated 3 months ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆195Updated 3 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆192Updated 5 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆479Updated last year
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆577Updated 4 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆253Updated 4 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆172Updated last year
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆331Updated last year
- Code for conservative Q-learning☆410Updated 2 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆117Updated 3 months ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆672Updated 2 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆306Updated 2 months ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆199Updated 5 years ago
- ☆185Updated last year
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆203Updated last year
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆512Updated last month
- Level-based Foraging (LBF): A multi-agent environment for RL☆161Updated 2 months ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆145Updated 7 months ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆396Updated last year
- The implement of all kinds of dqn reinforcement learning with Pytorch☆90Updated 3 years ago
- A plotter for reinforcement learning (RL)☆207Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆305Updated 4 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆214Updated 2 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆139Updated last year
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆155Updated 2 years ago