gwthomas / force
A library for reinforcement learning research
☆55Updated last month
Alternatives and similar repositories for force:
Users that are interested in force are comparing it to the libraries listed below
- Continual Reinforcement Learning in 3D Non-stationary Environments☆37Updated 5 years ago
- MultiTask Environments for Reinforcement Learning.☆74Updated 2 years ago
- Reinforcement Learning via Latent State Decoding☆30Updated last year
- Pytorch starter code for UC Berkeley's cs285 assignments☆71Updated 3 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆83Updated 3 years ago
- Tensorflow 2 source code for the PI-SAC agent from "Predictive Information Accelerates Learning in RL" (NeurIPS 2020)☆44Updated last year
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- Proto-RL: Reinforcement Learning with Prototypical Representations☆82Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 5 months ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- ☆85Updated 3 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Implicit Normalizing Flows + Reinforcement Learning☆60Updated 5 years ago
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆104Updated 3 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 4 years ago
- ☆31Updated 6 years ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆68Updated 3 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆70Updated last year
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- MELD: Meta-Reinforcement Learning from Images via Latent State Models https://arxiv.org/abs/2010.13957☆64Updated 3 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆188Updated 2 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆44Updated last year
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆124Updated 4 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆48Updated 3 years ago
- ☆112Updated last year
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- ☆47Updated 4 years ago