philtabor / Actor-Critic-Methods-Paper-To-Code
☆181Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Actor-Critic-Methods-Paper-To-Code
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆271Updated 3 years ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆300Updated 2 years ago
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆299Updated 3 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆317Updated 4 years ago
- PyTorch implementation of SAC-Discrete.☆284Updated 3 months ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆295Updated 2 years ago
- ☆351Updated last year
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆120Updated 3 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆577Updated 4 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆192Updated 5 years ago
- multi-agent deep reinforcement learning for networked system control.☆385Updated 4 years ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆96Updated 2 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆541Updated 2 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆66Updated 3 months ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆95Updated 5 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆161Updated 3 months ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆305Updated 4 years ago
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆190Updated 2 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆670Updated 2 years ago
- Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51☆276Updated 4 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆173Updated 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
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆672Updated 2 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆479Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆133Updated 5 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆322Updated last year
- Mean Field Multi-Agent Reinforcement Learning☆377Updated 4 years ago
- The code for maddpg using pytorch☆162Updated 4 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆63Updated 5 years ago