davide97l / PPO-GAIL-cartpole
GAIL learning to imitate PPO playing CartPole.
☆12Updated 3 years ago
Alternatives and similar repositories for PPO-GAIL-cartpole:
Users that are interested in PPO-GAIL-cartpole are comparing it to the libraries listed below
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- multiagent-gail working with multiagent-particle-env-v2 (which was modified by magail authors)☆11Updated 5 years ago
- ☆18Updated 3 years ago
- Code for Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games☆20Updated 2 years ago
- ☆14Updated 5 years ago
- V-MPO torch version with DMLab30 and GTrXL☆12Updated 3 years ago
- Collection of OpenAI parametrized action-space environments.☆62Updated 2 years ago
- Inverse Constrained Reinforcement Learning (ICML 2021)☆21Updated 3 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆26Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- Generalized Proximal Policy Optimization with Sample Reuse (GePPO)☆21Updated last year
- Reinforcement Learning | Multi-Agent RL | Self-Play | Proximal Policy Optimization Algorithm (PPO) agent | Unity Tennis environment☆16Updated last year
- Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games☆47Updated 5 months ago
- ELIGN: Expectation Alignment as a Multi-agent Intrinsic Reward☆18Updated 2 years ago
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆26Updated 2 months ago
- Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments☆27Updated 4 years ago
- behavior cloning from observation☆35Updated 4 years ago
- DecentralizedLearning☆23Updated 2 years ago
- ☆28Updated 3 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆45Updated 11 months ago
- MATE: the Multi-Agent Tracking Environment.☆37Updated last year
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆81Updated last year
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆44Updated 3 years ago
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆26Updated 2 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆32Updated this week
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 2 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆40Updated 2 years ago
- Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL☆22Updated 3 months ago
- The Starcraft Multi-Agent challenge lite☆41Updated 5 months ago