yashbonde / Transformer-RLLinks
Experiments to train transformer network to master reinforcement learning environments.
☆32Updated 4 years ago
Alternatives and similar repositories for Transformer-RL
Users that are interested in Transformer-RL are comparing it to the libraries listed below
Sorting:
- ☆26Updated 3 years ago
- DecentralizedLearning☆25Updated 3 years ago
- Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization☆83Updated 2 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆71Updated last year
- An unofficial implementation for online decision transformer☆41Updated 3 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆53Updated 8 months ago
- Author's PyTorch implementation of LAP and PAL with TD3 and DDQN☆39Updated 4 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 5 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆47Updated 4 years ago
- Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards☆32Updated 3 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Soft Actor-Critic with advanced features☆51Updated 3 weeks ago
- Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments☆29Updated 5 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆71Updated 2 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆94Updated 2 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆50Updated last year
- Implementation of Multi-Game Decision Transformers in PyTorch☆49Updated 2 years ago
- Implementation of Relational Deep Reinforcement Learning☆25Updated 6 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 3 years ago
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆90Updated 2 years ago
- Benchmarked implementations of Offline RL Algorithms.☆76Updated 10 months ago
- Deep Learning Project☆23Updated 6 years ago
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Updated 2 years ago
- Distributed Deep Reinforcement Learning☆30Updated 5 years ago
- This code accompanies the paper "Scalable Multi-Agent Model-Based Reinforcement Learning".☆62Updated 9 months ago
- Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>☆19Updated 4 years ago
- Advantage weighted Actor Critic for Offline RL☆52Updated 3 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆62Updated 6 years ago