abhisheksuran / Reinforcement_Learning
Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3
☆96Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Reinforcement_Learning
- ☆181Updated 2 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆120Updated 3 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆208Updated last year
- Tensorflow 2 Reinforcement Learning Cookbook, published by Packt☆190Updated last year
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆66Updated 3 months ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆203Updated last year
- Level-based Foraging (LBF): A multi-agent environment for RL☆161Updated 2 months ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆161Updated 3 months ago
- 📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️☆49Updated 6 months ago
- Deep Reinforcement Learning with DQN, Double DQN, Dueling DQN, Noisy Net (Noisy DQN), and DQN with Prioritized Experience Replay☆93Updated 4 years ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆300Updated 2 years ago
- ☆351Updated last year
- Reinforcement learning tutorials☆364Updated last year
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆271Updated 3 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆133Updated 5 years ago
- TensorFlow 2.0 for Deep Reinforcement Learning.☆82Updated last year
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆63Updated 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
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆295Updated 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
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆172Updated last year
- ☆39Updated 4 years ago
- Series of deep reinforcement learning algorithms 🤖☆29Updated 3 years ago
- Multi-objective Gymnasium environments for reinforcement learning☆289Updated 3 weeks ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆299Updated 9 months ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆173Updated last year
- Simple Cartpole example writed with pytorch.☆165Updated 5 years ago
- Lightweight multi-agent gridworld Gym environment☆198Updated last year
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆148Updated 4 months ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆192Updated 5 years ago