From d0b4f496f35600b6720f932a46c3803a19f05852 Mon Sep 17 00:00:00 2001 From: Shangtong Zhang Date: Tue, 24 Apr 2018 23:33:05 -0600 Subject: [PATCH] Update README --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index edbb3d1..18b9237 100644 --- a/README.md +++ b/README.md @@ -11,7 +11,7 @@ Implemented algorithms: * (Continuous/Discrete) Synchronous Proximal Policy Optimization (PPO) * Action Conditional Video Prediction -Asynchronous algorithms below are removed in this repo but can be found in [v0.1](https://github.com/ShangtongZhang/DeepRL/releases/tag/v0.1) +Asynchronous algorithms below are removed in current version but can be found in [v0.1](https://github.com/ShangtongZhang/DeepRL/releases/tag/v0.1). * Async Advantage Actor Critic (A3C) * Async One-Step Q-Learning * Async One-Step Sarsa @@ -20,7 +20,7 @@ Asynchronous algorithms below are removed in this repo but can be found in [v0.1 * Distributed Deep Deterministic Policy Gradient (Distributed DDPG, aka D3PG) * Parallelized Proximal Policy Optimization (P3O, similar to DPPO) -Support for Pytorch v0.3.x can be found in [v0.2](https://github.com/ShangtongZhang/DeepRL/releases/tag/v0.2). Note all the figures are generated via this version. After the upgrade to PyTorch v0.4.0, I have only tested the classical control tasks. +Support for PyTorch v0.3.x can be found in [v0.2](https://github.com/ShangtongZhang/DeepRL/releases/tag/v0.2). Note all the figures are generated via this version. After the upgrade to PyTorch v0.4.0, I have only tested the classical control tasks. # Curves > Curves for CartPole are trivial so I didn't place it here. And there isn't any fixed random seed. The curves are generated in the same manner as OpenAI baselines (one run and smoothed by recent 100 episodes)