AntoineTheb / RNN-RLLinks
Experiments with reinforcement learning and recurrent neural networks
☆114Updated 2 years ago
Alternatives and similar repositories for RNN-RL
Users that are interested in RNN-RL are comparing it to the libraries listed below
Sorting:
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆148Updated 6 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆137Updated 3 months ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆330Updated 2 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆139Updated last year
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆98Updated 5 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆186Updated last year
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆149Updated 4 years ago
- Baseline implementation of recurrent PPO using truncated BPTT☆156Updated last year
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆294Updated 4 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆234Updated 5 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆183Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆332Updated 4 years ago
- Lightweight multi-agent gridworld Gym environment☆212Updated 2 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆176Updated last year
- PyTorch implementation of SAC-Discrete.☆313Updated last year
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆182Updated 3 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 7 months ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆214Updated 2 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆381Updated 4 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆144Updated last year
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 5 years ago
- Solving POMDP using Recurrent networks☆92Updated 5 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆363Updated 2 years ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆200Updated last year
- PyTorch implementation of Soft Actor-Critic(SAC).☆105Updated 5 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆340Updated last year
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆90Updated 2 years ago
- Gridworld for MARL experiments☆144Updated 4 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆167Updated 3 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆199Updated last year